Bug triaging, which routes the bug reports to potential fixers, is an integral step in software development and maintenance. To make bug triaging more efficient, many researchers propose to adopt machine learning and ...Bug triaging, which routes the bug reports to potential fixers, is an integral step in software development and maintenance. To make bug triaging more efficient, many researchers propose to adopt machine learning and information retrieval techniques to identify some suitable fixers for a given bug report. However, none of the existing proposals simultaneously take into account the following three aspects that matter for the efficiency of bug triaging: 1) the textual content in the bug reports, 2) the metadata in the bug reports, and 3) the tossing sequence of the bug reports. To simultaneously make use of the above three aspects, we propose iTriage which first adopts a sequence-to-sequence model to jointly learn the features of textual content and tossing sequence, and then uses a classification model to integrate the features from textual content, metadata, and tossing sequence. Evaluation results on three different open-source projects show that the proposed approach has significantly improved the accuracy of bug triaging compared with the state-of-the-art approaches.展开更多
Trauma is a major cause of morbidity and mortality across the globe accounting for significant health burden.Relevance of trauma care revolves round prevention,planning and execution of safety regulations.Acquisition ...Trauma is a major cause of morbidity and mortality across the globe accounting for significant health burden.Relevance of trauma care revolves round prevention,planning and execution of safety regulations.Acquisition of the actual data regarding the type of trauma,affected age group,timings of trauma occurrence,involved part of the body constitute the initial steps in the building of the composite overview of the epidemiology of trauma.In succession,would be the measures directed towards avoidance of trauma and capacity building of trauma center.展开更多
BACKGROUND:Rapid and accurate identification of high-risk patients in the emergency departments(EDs)is crucial for optimizing resource allocation and improving patient outcomes.This study aimed to develop an early pre...BACKGROUND:Rapid and accurate identification of high-risk patients in the emergency departments(EDs)is crucial for optimizing resource allocation and improving patient outcomes.This study aimed to develop an early prediction model for identifying high-risk patients in EDs using initial vital sign measurements.METHODS:This retrospective cohort study analyzed initial vital signs from the Chinese Emergency Triage,Assessment,and Treatment(CETAT)database,which was collected between January 1^(st),2020,and June 25^(th),2023.The primary outcome was the identification of high-risk patients needing immediate treatment.Various machine learning methods,including a deep-learningbased multilayer perceptron(MLP)classifier were evaluated.Model performance was assessed using the area under the receiver operating characteristic curve(AUC-ROC).AUC-ROC values were reported for three scenarios:a default case,a scenario requiring sensitivity greater than 0.8(Scenario I),and a scenario requiring specificity greater than 0.8(Scenario II).SHAP values were calculated to determine the importance of each predictor within the MLP model.RESULTS:A total of 38,797 patients were analyzed,of whom 18.2%were identified as high-risk.Comparative analysis of the predictive models for high-risk patients showed AUC-ROC values ranging from 0.717 to 0.738,with the MLP model outperforming logistic regression(LR),Gaussian Naive Bayes(GNB),and the National Early Warning Score(NEWS).SHAP value analysis identified coma state,peripheral capillary oxygen saturation(SpO_(2)),and systolic blood pressure as the top three predictive factors in the MLP model,with coma state exerting the most contribution.CONCLUSION:Compared with other methods,the MLP model with initial vital signs demonstrated optimal prediction accuracy,highlighting its potential to enhance clinical decision-making in triage in the EDs.展开更多
Objective:Drawbacks of human papillomavirus(HPV)primary screening,including high referral rates and low specificity,highlight the necessity for triage strategies to balance the screening benefits with potential harms....Objective:Drawbacks of human papillomavirus(HPV)primary screening,including high referral rates and low specificity,highlight the necessity for triage strategies to balance the screening benefits with potential harms.Methods:A cross-sectional,population-based diagnostic study was conducted in rural Xinjiang,China involving 8,638 women≥25 years of age who participated in organized cervical cancer screening between 2023 and 2024.The study evaluated the accuracy and efficiency of multiple HPV-based"screen-triage"strategies.Histologically confirmed cervical intraepithelial neoplasia grade 2 or worse(CIN2+and CIN3+)served as disease outcomes.Results:Among single-step triage strategies,only extended genotyping for the seven most carcinogenic HPV types(HPV16/18/31/33/45/52/58)maintained sensitivity for CIN2+comparable to HPV screening without triage(90.0%vs.92.5%,P=0.50)but significantly improved specificity(94.7%vs.90.8%,P<0.001).This approach led to a 38%reduction in colposcopy referrals(relative rate,0.62;95%CI:0.59±0.65).Two-step triage algorithms(HPV16/18 with reflex ASC-US+or methylation)showed slightly lower but non-significant sensitivity(87.5%,P=0.13/89.6%,P=0.50)than HPV primary screening without triage,yet achieved significantly increased specificity(>95%,P<0.001)and reduced colposcopy referral by~50%(relative rate,0.5;P<0.001).If negative for cytology or methylation,women positive for 12 high-risk HPV types(excluding HPV16/18)had a<2%risk of CIN2+(CIN3+risk<1%),indicating delayed follow-up.Conclusions:Focusing on the seven high-risk HPV types within a one-step"screen-triage"framework effectively balances minimal sensitivity loss with significant gains in specificity,reducing unnecessary referrals and treatments,especially valuable in resourcelimited settings.Integrating HPV genotyping with methylation results improves the accurate identification of women requiring immediate referral,which is advisable when resources allow.展开更多
BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)adm...BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to fi nd a light-weight,convenient prediction method through machine learning.METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation.RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the fi ve most important features were acuity,arrival transportation,age,shock index,and respiratory rate.CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.展开更多
Objective:To explore the application and effectiveness of the Modified Early Warning Score(MEWS)in emergency triage and evaluate its impact on triage efficiency and accuracy.Methods:A total of 6,000 patients who visit...Objective:To explore the application and effectiveness of the Modified Early Warning Score(MEWS)in emergency triage and evaluate its impact on triage efficiency and accuracy.Methods:A total of 6,000 patients who visited the emergency department between February 2023 and July 2024 were selected and randomly divided into the observation group and the control group,with 3,000 patients in each group.The observation group used MEWS for triage,while the control group adopted the traditional experience-based triage method.The triage time and accuracy were recorded and compared between the two groups.Results:The triage time of the observation group was significantly shorter than that of the control group(0.84±0.21 min vs.1.42±0.35 min,t=6.54,P<0.01).The triage accuracy of the observation group was 98.67%(2,960/3,000),significantly higher than the control group’s 93.33%(2,800/3,000,χ²=5.95,P<0.05).Conclusion:MEWS significantly improves triage efficiency and accuracy in emergency triage,providing an effective tool for optimizing emergency resource allocation,reducing patient wait times,and ensuring patient safety.It has high clinical application value.Further research is needed to validate its effectiveness in multi-center and large-sample studies and to explore its integration with intelligent technologies.展开更多
Background:Triage remains a cornerstone of emergency care,both in the context of large-scale disasters and within everyday hospital emergency departments.It is a process of sorting and prioritizing patients based on t...Background:Triage remains a cornerstone of emergency care,both in the context of large-scale disasters and within everyday hospital emergency departments.It is a process of sorting and prioritizing patients based on their illness or injury severity.This prioritization ensures that those in most critical need receive timely medical intervention,potentially saving lives and improving their overall prognosis.Therefore,we assessed the nurses’knowledge regarding triage to identify the level of required ongoing training and education to ensure accurate assessments and optimal patient outcomes in hospital care.Methods:A descriptive,cross-sectional study with a convenience sampling method was conducted in three main teaching hospitals in Al-Najaf city from December 2023 till April 2024.A specially prepared questionnaire was used to collect the required data from 70 nurses working in those hospitals.Results:findings showed that(62.9%)were females.Along with this(60%)of the total do not have training courses on triage.In concern knowledge,nurses exhibited poor knowledge(47.14%)and moderate knowledge(50%)about triage.Furthermore,the overall nurses’knowledge concerning triage was not associated with nurses'demographic data(P>0.05).Conclusion:The study concluded that the majority of nurses had overall poor to moderate knowledge of triage,which is a poor finding,and there was a high association between nurses’knowledge and training courses on triage.展开更多
The primary objective of emergency pre-examination and triage is to provide the most appropriate clinical service to patients with acute and critical illnesses while ensuring the optimal utilization of limited medical...The primary objective of emergency pre-examination and triage is to provide the most appropriate clinical service to patients with acute and critical illnesses while ensuring the optimal utilization of limited medical resources.With the advancement of medical information technology,mobile technology,and information management,these features have been gradually incorporated into emergency pre-examination and triage and have shown promising outcomes.In this article,the benefits of implementing mobile technology and the current status of integrated information management to provide a reference for the future development and enhancement of emergency pre-examination and triage are reviewed.展开更多
AIM:To examine whether addition of 3T multiparametric magnetic resonance imaging(mp MRI)to an active surveillance protocol could detect aggressive or progressive prostate cancer.METHODS:Twenty-three patients with low ...AIM:To examine whether addition of 3T multiparametric magnetic resonance imaging(mp MRI)to an active surveillance protocol could detect aggressive or progressive prostate cancer.METHODS:Twenty-three patients with low risk disease were enrolled on this active surveillance study,all of which had Gleason score 6 or less disease.All patients had clinical assessments,including digital rectal examination and prostate specific antigen(PSA)testing,every 6 mo with annual 3T mp MRI scans with gadolinium contrast and minimum sextant prostate biopsies.The MRI images were anonymized of patient identifiers and clinical information and each scan underwentradiological review without the other results known.Descriptive statistics for demographics and follow-up as well as the sensitivity and specificity of mp MRI to identify prostate cancer and progressive disease were calculated.RESULTS:During follow-up(median 24.8 mo)11 of 23 patients with low-risk prostate cancer had disease progression and were taken off study to receive definitive treatment.Disease progression was identified through upstaging of Gleason score on subsequent biopsies for all 11 patients with only 2 patients also having a PSA doubling time of less than 2 years.All 23 patients had biopsy confirmed prostate cancer but only 10 had a positive index of suspicion on mp MRI scans at baseline(43.5% sensitivity).Aggressive disease prediction from baseline mpM RI scans had satisfactory specificity(81.8%)but low sensitivity(58.3%).Twentytwo patients had serial mp MRI scans and evidence of disease progression was seen for 3 patients all of whom had upstaging of Gleason score on biopsy(30% specificity and 100% sensitivity).CONCLUSION:Addition of mp MRI imaging in active surveillance decision making may help in identifying aggressive disease amongst men with indolent prostate cancer earlier than traditional methods.展开更多
Automation software need to be continuously updated by addressing software bugs contained in their repositories.However,bugs have different levels of importance;hence,it is essential to prioritize bug reports based on...Automation software need to be continuously updated by addressing software bugs contained in their repositories.However,bugs have different levels of importance;hence,it is essential to prioritize bug reports based on their sever-ity and importance.Manually managing the deluge of incoming bug reports faces time and resource constraints from the development team and delays the resolu-tion of critical bugs.Therefore,bug report prioritization is vital.This study pro-poses a new model for bug prioritization based on average one dependence estimator;it prioritizes bug reports based on severity,which is determined by the number of attributes.The more the number of attributes,the more the severity.The proposed model is evaluated using precision,recall,F1-Score,accuracy,G-Measure,and Matthew’s correlation coefficient.Results of the proposed model are compared with those of the support vector machine(SVM)and Naive Bayes(NB)models.Eclipse and Mozilla datasetswere used as the sources of bug reports.The proposed model improved the bug repository management and out-performed the SVM and NB models.Additionally,the proposed model used a weaker attribute independence supposition than the former models,thereby improving prediction accuracy with minimal computational cost.展开更多
Objective： CareHPV is a human papillomavirus （HPV） DNA test for low-resource settings （LRS）. This study assesses optimum triage strategies for careHPV-positive women in LRS. Methods： A total of 2,530 Chinese wom...Objective： CareHPV is a human papillomavirus （HPV） DNA test for low-resource settings （LRS）. This study assesses optimum triage strategies for careHPV-positive women in LRS. Methods： A total of 2,530 Chinese women were concurrently screened for cervical cancer with visual inspection with acetic acid （VIA）, liquid-based cytology and HPV testing by physician- and self-collected careHPV, and physician-collected Hybrid Capture 2 （HC2）. Screen-positive women were referred to colposcopy with biopsy and endocervical curettage as necessary. HPV-positivity was defined as _〉1.0 relative light units/cutoff （RLU/CO） for both careHPV and HC2. Primary physician-HC2, physician-careHPV and self-careHPV and in sequential screening with cytology, VIA, or increased HPV test-positivity performance, stratified by age, were assessed for cervical intraepithelial neoplasia （CIN） grade 2/3 or worse （CIN2/3＋） detection. Results： The sensitivities and specificities of primary HPV testing for CIN2＋ were： 83.8%, 88.1% for physician- careHPV; 72. 1%, 88.2% for self-careHPV; and 97.1%, 86.0% for HC2. Physician-careHPV test-positive women with VIA triage had a sensitivity of 30.9% for CIN2＋ versus 80.9% with cytology triage. Self-careHPV test- positive women with VIA triage was 26.5% versus 66.2 % with cytology triage. The sensitivity of HC2 test-positive women with VIA triage was 38.2 % versus 92.6% with cytology triage. The sensitivity of physician-careHPV testing for CIN2＋ decreased from 83.8% at _〉1.0 RLU/CO to 72.1% at _〉10.00 RLU/CO, while the sensitivity of self- careHPV testing decreased from 72.1% at _〉1.0 RLU/CO to 32.4% at _〉10.00 RLU/CO; similar trends were seen with age-stratification. Conclusions： VIA and cytology triage improved specificity for CIN2/3 than no triage. Sensitivity with VIA triage was unsuitable for a mass-screening program. VIA provider training might improve this strategy. Cytology triage could be feasible where a high-quality cytology program exists. Triage of HPV test-positive women by increased test positivity cutoff adds another LRS triage option.展开更多
Objective:To evaluate the efficiency of p16/Ki-67 dual stain used as a triage in cervical cancer screening.Methods:In this study,we did 468 p16/Ki-67 dual stain in human papillomavirus(HPV)16/18-positive or 12 other h...Objective:To evaluate the efficiency of p16/Ki-67 dual stain used as a triage in cervical cancer screening.Methods:In this study,we did 468 p16/Ki-67 dual stain in human papillomavirus(HPV)16/18-positive or 12 other high-risk HPV(OHR-HPV)positive Thinprep cytologic test(TCT)atypical squamous cells of undetermined significance(ASCUS)/lower-grade squamous intraepithelial lesion(LSIL)women.We evaluated the sensitivity,specificity,positive predictive value(PPV)and negative predictive value(NPV)of the triage test.Results:The sensitivity,specificity,PPV and NPV of p16/Ki-67 dual stain in HPV 16/18-positive women were91.5%/68.4%,77.0%/75.0%,73.9%/59.1%and 92.8%/81.8%.In 12 OHR-HPV positive TCT ASCUS/LSIL women,the results were 79.1%/95.0%,88.5%/66.7%,88.5%/70.4%and 89.2%/94.1%.The risk of precancerous lesions in p16/Ki-67 dual stain positive cases was much higher than before,and the negative cases had lower risk.Besides,there was no cervical intraepithelial neoplasia(CIN)III case missed after triaged by p16/Ki-67 dual-stained cytology.In p16/Ki-67 dual-stained cytology positive women with benign pathology or CIN I,the 1-year progression rate is 20.5%and in p16/Ki-67 dual-stained cytology negative women,the 1-year progression rate is5.6%.Conclusions:hr-HPV genotyping test plays an important role in cervical cancer screening.p16/Ki-67 dual stain may be a promising triage test.As for chronic cervicitis or CIN I patients,a positive p16/Ki-67 dual-stained cytology suggests a high risk in progression and need to be followed up closely.展开更多
Objective:We aimed to evaluate the effectiveness of different triage strategies for high-risk human papillomavirus(hrHPV)-positive women in primary healthcare settings in China.Methods:This study was undertaken in 11 ...Objective:We aimed to evaluate the effectiveness of different triage strategies for high-risk human papillomavirus(hrHPV)-positive women in primary healthcare settings in China.Methods:This study was undertaken in 11 rural and 9 urban sites.Women aged 35-64 years old were enrolled.HrHPV-positive women were randomly allocated to liquid-based cytology(LBC),visual inspection with acetic acid and Lugol’s iodine(VIA/VILI)(rural only)triage,or directly referred to colposcopy(direct COLP).At 24 months,hrHPV testing,LBC and VIA/VILI were conducted for combined screening.Results:In rural sites,1,949 hrHPV-positive women were analyzed.A total of 852,218 and 480 women were randomly assigned to direct COLP,LBC and VIA/VILI.At baseline,colposcopy referral rates of LBC or VIA/VILI triage could be reduced by 70%-80%.LBC(n=3 and n=7)or VIA/VILI(n=8 and n=26)could significantly decrease the number of colposcopies needed to detect one cervical intraepithelial neoplasia(CIN)2 or worse and CIN3+compared with direct COLP(n=14 and n=23).For the 24-month cumulative detection rate of CIN2+,VIA/VILI triage was 0.50-fold compared with LBC triage and 0.46-fold with the direct COLP.When stratified by age,baseline LBC triage+performed best(P<0.001),peaking among women aged 35-44 years(Ptrend=0.002).In urban sites,1,728 women were hrHPV genotyping test positive.A total of 408,571 and 568women were randomly assigned to direct COLP for HPV16/18+,direct COLP for other hrHPV subtypes+,and LBC triage for other hrHPV subtypes+.LBC(n=12 and n=31)significantly decreased the number of colposcopies needed to detect one CIN2+and CIN3+compared with direct COLP(n=14 and n=44).HPV16/18+increased the 24-month cumulative detection rate of CIN2+(17.89%,P<0.001).Conclusions:LBC triage for hrHPV-positive women in rural settings and direct COLP for HPV16/18+women and LBC triage for other hrHPV subtype+women in urban settings might be feasible strategies.展开更多
BACKGROUND:It is not clear whether Emergency Severity Index(ESI)is valid to triage heart failure(HF)patients and if HF patients benefi t more from a customized triage scale or not.The aim of study is to compare the ef...BACKGROUND:It is not clear whether Emergency Severity Index(ESI)is valid to triage heart failure(HF)patients and if HF patients benefi t more from a customized triage scale or not.The aim of study is to compare the effect of Heart Failure Triage Scale(HFTS)and ESI on mistriage among patients with HF who present to the emergency department(ED).METHODS:A randomized clinical trial was conducted from April to June 2017.HF patients with dyspnea were randomly assigned to HFTS or ESI groups.Triage level,used resources and time to electrocardiogram(ECG)were compared between both groups among HF patients who were admitted to coronary care unit(CCU),cardiac unit(CU)and discharged patients from the ED.Content validity was examined using Kappa designating agreement on relevance(K*).Reliability of both scale was evaluated using inter-observer agreement(Kappa).RESULTS:Seventy-three and 74 HF patients were assigned to HFTS and ESI groups respectively.Time to ECG in HFTS group was signifi cantly shorter than that of ESI group(2.05 vs.16.82 minutes).Triage level between HFTS and ESI groups was signifi cantly different among patients admitted to CCU(1.0 vs.2.8),cardiac unit(2.26 vs.3.06)and discharged patients from the ED(3.53 vs.2.86).Used resources in HFTS group was significantly different among triage levels(H=25.89;df=3;P<0.001).CONCLUSION:HFTS is associated with less mistriage than ESI for triaging HF patients.It is recommended to make use of HFTS to triage HF patients in the ED.展开更多
BACKGROUND: Although the Australasian Triage Scale(ATS) has been developed two decades ago, its reliability has not been def ined; therefore, we present a meta-analyis of the reliability of the ATS in order to reveal ...BACKGROUND: Although the Australasian Triage Scale(ATS) has been developed two decades ago, its reliability has not been def ined; therefore, we present a meta-analyis of the reliability of the ATS in order to reveal to what extent the ATS is reliable.DATA SOURCES: Electronic databases were searched to March 2014. The included studies were those that reported samples size, reliability coefficients, and adequate description of the ATS reliability assessment. The guidelines for reporting reliability and agreement studies(GRRAS) were used. Two reviewers independently examined abstracts and extracted data. The effect size was obtained by the z-transformation of reliability coefficients. Data were pooled with random-effects models, and meta-regression was done based on the method of moment's estimator.RESULTS: Six studies were included in this study at last. Pooled coefficient for the ATS was substantial 0.428(95%CI 0.340–0.509). The rate of mis-triage was less than fifty percent. The agreement upon the adult version is higher than the pediatric version.CONCLUSION: The ATS has shown an acceptable level of overall reliability in the emergency department, but it needs more development to reach an almost perfect agreement.展开更多
BACKGROUND:This study was undertaken to validate the use of the modified early warning score(MEWS) as a predictor of patient mortality and intensive care unit(ICU)/ high dependency(HD)admission in an Asian population....BACKGROUND:This study was undertaken to validate the use of the modified early warning score(MEWS) as a predictor of patient mortality and intensive care unit(ICU)/ high dependency(HD)admission in an Asian population.METHODS:The MEWS was applied to a retrospective cohort of 1 024 critically ill patients presenting to a large Asian tertiary emergency department(ED) between November 2006 and December2007.Individual MEWS was calculated based on vital signs parameters on arrival at ED.Outcomes of mortality and ICU/HD admission were obtained from hospital records.The ability of the composite MEWS and its individual components to predict mortality within 30 days from ED visit was assessed.Sensitivity,specificity,positive and negative predictive values were derived and compared with values from other cohorts.A MEWS of ≥4 was chosen as the cut-off value for poor prognosis based on previous studies.RESULTS:A total of 311(30.4%) critically ill patients were presented with a MEWS ≥4.Their mean age was 61.4 years(SD 18.1) with a male to female ratio of 1.10.Of the 311 patients,53(17%)died within 30 days,64(20.6%) were admitted to ICU and 86(27.7%) were admitted to HD.The area under the receiver operating characteristic curve was 0.71 with a sensitivity of 53.0%and a specificity of 72.1%in addition to a positive predictive value(PPV) of 17.0%and a negative predictive value(NPV)of 93.4%(MEWS cut-off of ≥4) for predicting mortality.CONCLUSION:The composite MEWS did not perform well in predicting poor patient outcomes for critically ill patients presenting to an ED.展开更多
BACKGROUND： The purpose of triage is to identify patients needing immediate resuscitation, toassign patients to a pre-designed patient care area, and to initiate diagnostic/therapeutic measures asappropriate. This st...BACKGROUND： The purpose of triage is to identify patients needing immediate resuscitation, toassign patients to a pre-designed patient care area, and to initiate diagnostic/therapeutic measures asappropriate. This study aimed to use emergency severity index （ESI） in a pediatric emergency room.METHODS： From July 2006 to August 2010, a total of 21 904 patients visited the InternationalDepartment of Beijing Children＇s Hospital. The ESI was measured by nurses and physicians, andcompared using SPSS.RESULTS： Nurses of the hospital took approximately 2 minutes for triage. The results of triagemade by nurses were similar to those made by doctors for ESI in levels 1-3 patients. This findingindicated that the nurses are able to identify severe pediatric cases.CONCLUSION： In pediatric emergency rooms, ESI is a suitable tool for identifying severecases and then immediate interventions can be performed accordingly.展开更多
基金supported by the National Natural Science Foundation of China under Grant Nos.61690204,61672274,and 61702252, and the Collaborative Innovation Center of Novel Software Technology and Industrialization at Nanjing University.
文摘Bug triaging, which routes the bug reports to potential fixers, is an integral step in software development and maintenance. To make bug triaging more efficient, many researchers propose to adopt machine learning and information retrieval techniques to identify some suitable fixers for a given bug report. However, none of the existing proposals simultaneously take into account the following three aspects that matter for the efficiency of bug triaging: 1) the textual content in the bug reports, 2) the metadata in the bug reports, and 3) the tossing sequence of the bug reports. To simultaneously make use of the above three aspects, we propose iTriage which first adopts a sequence-to-sequence model to jointly learn the features of textual content and tossing sequence, and then uses a classification model to integrate the features from textual content, metadata, and tossing sequence. Evaluation results on three different open-source projects show that the proposed approach has significantly improved the accuracy of bug triaging compared with the state-of-the-art approaches.
文摘Trauma is a major cause of morbidity and mortality across the globe accounting for significant health burden.Relevance of trauma care revolves round prevention,planning and execution of safety regulations.Acquisition of the actual data regarding the type of trauma,affected age group,timings of trauma occurrence,involved part of the body constitute the initial steps in the building of the composite overview of the epidemiology of trauma.In succession,would be the measures directed towards avoidance of trauma and capacity building of trauma center.
基金Applicable Funding Source University of Science and Technology of China(to YLL)National Natural Science Foundation of China(12126604)(to MPZ)+1 种基金R&D project of Pazhou Lab(Huangpu)(2023K0609)(to MPZ)Anhui Provincial Natural Science(grant number 2208085MH235)(to KJ)。
文摘BACKGROUND:Rapid and accurate identification of high-risk patients in the emergency departments(EDs)is crucial for optimizing resource allocation and improving patient outcomes.This study aimed to develop an early prediction model for identifying high-risk patients in EDs using initial vital sign measurements.METHODS:This retrospective cohort study analyzed initial vital signs from the Chinese Emergency Triage,Assessment,and Treatment(CETAT)database,which was collected between January 1^(st),2020,and June 25^(th),2023.The primary outcome was the identification of high-risk patients needing immediate treatment.Various machine learning methods,including a deep-learningbased multilayer perceptron(MLP)classifier were evaluated.Model performance was assessed using the area under the receiver operating characteristic curve(AUC-ROC).AUC-ROC values were reported for three scenarios:a default case,a scenario requiring sensitivity greater than 0.8(Scenario I),and a scenario requiring specificity greater than 0.8(Scenario II).SHAP values were calculated to determine the importance of each predictor within the MLP model.RESULTS:A total of 38,797 patients were analyzed,of whom 18.2%were identified as high-risk.Comparative analysis of the predictive models for high-risk patients showed AUC-ROC values ranging from 0.717 to 0.738,with the MLP model outperforming logistic regression(LR),Gaussian Naive Bayes(GNB),and the National Early Warning Score(NEWS).SHAP value analysis identified coma state,peripheral capillary oxygen saturation(SpO_(2)),and systolic blood pressure as the top three predictive factors in the MLP model,with coma state exerting the most contribution.CONCLUSION:Compared with other methods,the MLP model with initial vital signs demonstrated optimal prediction accuracy,highlighting its potential to enhance clinical decision-making in triage in the EDs.
基金supported by grants from The Key Research and Development Program of Xinjiang Uygur Autonomous Region of China(Grant No.2022B03019-2)the National Natural Science Foundation of China(Grant Nos.82260660 and 72264038)the CAMS Innovation Fund for Medical Sciences(Grant No.CAMS 2021-I2M-1-004)。
文摘Objective:Drawbacks of human papillomavirus(HPV)primary screening,including high referral rates and low specificity,highlight the necessity for triage strategies to balance the screening benefits with potential harms.Methods:A cross-sectional,population-based diagnostic study was conducted in rural Xinjiang,China involving 8,638 women≥25 years of age who participated in organized cervical cancer screening between 2023 and 2024.The study evaluated the accuracy and efficiency of multiple HPV-based"screen-triage"strategies.Histologically confirmed cervical intraepithelial neoplasia grade 2 or worse(CIN2+and CIN3+)served as disease outcomes.Results:Among single-step triage strategies,only extended genotyping for the seven most carcinogenic HPV types(HPV16/18/31/33/45/52/58)maintained sensitivity for CIN2+comparable to HPV screening without triage(90.0%vs.92.5%,P=0.50)but significantly improved specificity(94.7%vs.90.8%,P<0.001).This approach led to a 38%reduction in colposcopy referrals(relative rate,0.62;95%CI:0.59±0.65).Two-step triage algorithms(HPV16/18 with reflex ASC-US+or methylation)showed slightly lower but non-significant sensitivity(87.5%,P=0.13/89.6%,P=0.50)than HPV primary screening without triage,yet achieved significantly increased specificity(>95%,P<0.001)and reduced colposcopy referral by~50%(relative rate,0.5;P<0.001).If negative for cytology or methylation,women positive for 12 high-risk HPV types(excluding HPV16/18)had a<2%risk of CIN2+(CIN3+risk<1%),indicating delayed follow-up.Conclusions:Focusing on the seven high-risk HPV types within a one-step"screen-triage"framework effectively balances minimal sensitivity loss with significant gains in specificity,reducing unnecessary referrals and treatments,especially valuable in resourcelimited settings.Integrating HPV genotyping with methylation results improves the accurate identification of women requiring immediate referral,which is advisable when resources allow.
基金supported by the National Key Research and Development Program of China(2021YFC2500803)the CAMS Innovation Fund for Medical Sciences(2021-I2M-1-056).
文摘BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to fi nd a light-weight,convenient prediction method through machine learning.METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation.RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the fi ve most important features were acuity,arrival transportation,age,shock index,and respiratory rate.CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.
文摘Objective:To explore the application and effectiveness of the Modified Early Warning Score(MEWS)in emergency triage and evaluate its impact on triage efficiency and accuracy.Methods:A total of 6,000 patients who visited the emergency department between February 2023 and July 2024 were selected and randomly divided into the observation group and the control group,with 3,000 patients in each group.The observation group used MEWS for triage,while the control group adopted the traditional experience-based triage method.The triage time and accuracy were recorded and compared between the two groups.Results:The triage time of the observation group was significantly shorter than that of the control group(0.84±0.21 min vs.1.42±0.35 min,t=6.54,P<0.01).The triage accuracy of the observation group was 98.67%(2,960/3,000),significantly higher than the control group’s 93.33%(2,800/3,000,χ²=5.95,P<0.05).Conclusion:MEWS significantly improves triage efficiency and accuracy in emergency triage,providing an effective tool for optimizing emergency resource allocation,reducing patient wait times,and ensuring patient safety.It has high clinical application value.Further research is needed to validate its effectiveness in multi-center and large-sample studies and to explore its integration with intelligent technologies.
文摘Background:Triage remains a cornerstone of emergency care,both in the context of large-scale disasters and within everyday hospital emergency departments.It is a process of sorting and prioritizing patients based on their illness or injury severity.This prioritization ensures that those in most critical need receive timely medical intervention,potentially saving lives and improving their overall prognosis.Therefore,we assessed the nurses’knowledge regarding triage to identify the level of required ongoing training and education to ensure accurate assessments and optimal patient outcomes in hospital care.Methods:A descriptive,cross-sectional study with a convenience sampling method was conducted in three main teaching hospitals in Al-Najaf city from December 2023 till April 2024.A specially prepared questionnaire was used to collect the required data from 70 nurses working in those hospitals.Results:findings showed that(62.9%)were females.Along with this(60%)of the total do not have training courses on triage.In concern knowledge,nurses exhibited poor knowledge(47.14%)and moderate knowledge(50%)about triage.Furthermore,the overall nurses’knowledge concerning triage was not associated with nurses'demographic data(P>0.05).Conclusion:The study concluded that the majority of nurses had overall poor to moderate knowledge of triage,which is a poor finding,and there was a high association between nurses’knowledge and training courses on triage.
文摘The primary objective of emergency pre-examination and triage is to provide the most appropriate clinical service to patients with acute and critical illnesses while ensuring the optimal utilization of limited medical resources.With the advancement of medical information technology,mobile technology,and information management,these features have been gradually incorporated into emergency pre-examination and triage and have shown promising outcomes.In this article,the benefits of implementing mobile technology and the current status of integrated information management to provide a reference for the future development and enhancement of emergency pre-examination and triage are reviewed.
基金Supported by The IGAR Initiative and the Clinical Trials Unit at the Cross Cancer Institute,which is supported in part by the Alberta Cancer Foundation
文摘AIM:To examine whether addition of 3T multiparametric magnetic resonance imaging(mp MRI)to an active surveillance protocol could detect aggressive or progressive prostate cancer.METHODS:Twenty-three patients with low risk disease were enrolled on this active surveillance study,all of which had Gleason score 6 or less disease.All patients had clinical assessments,including digital rectal examination and prostate specific antigen(PSA)testing,every 6 mo with annual 3T mp MRI scans with gadolinium contrast and minimum sextant prostate biopsies.The MRI images were anonymized of patient identifiers and clinical information and each scan underwentradiological review without the other results known.Descriptive statistics for demographics and follow-up as well as the sensitivity and specificity of mp MRI to identify prostate cancer and progressive disease were calculated.RESULTS:During follow-up(median 24.8 mo)11 of 23 patients with low-risk prostate cancer had disease progression and were taken off study to receive definitive treatment.Disease progression was identified through upstaging of Gleason score on subsequent biopsies for all 11 patients with only 2 patients also having a PSA doubling time of less than 2 years.All 23 patients had biopsy confirmed prostate cancer but only 10 had a positive index of suspicion on mp MRI scans at baseline(43.5% sensitivity).Aggressive disease prediction from baseline mpM RI scans had satisfactory specificity(81.8%)but low sensitivity(58.3%).Twentytwo patients had serial mp MRI scans and evidence of disease progression was seen for 3 patients all of whom had upstaging of Gleason score on biopsy(30% specificity and 100% sensitivity).CONCLUSION:Addition of mp MRI imaging in active surveillance decision making may help in identifying aggressive disease amongst men with indolent prostate cancer earlier than traditional methods.
基金This work was supported in part by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(No.NRF-2020R1A2C1013308).
文摘Automation software need to be continuously updated by addressing software bugs contained in their repositories.However,bugs have different levels of importance;hence,it is essential to prioritize bug reports based on their sever-ity and importance.Manually managing the deluge of incoming bug reports faces time and resource constraints from the development team and delays the resolu-tion of critical bugs.Therefore,bug report prioritization is vital.This study pro-poses a new model for bug prioritization based on average one dependence estimator;it prioritizes bug reports based on severity,which is determined by the number of attributes.The more the number of attributes,the more the severity.The proposed model is evaluated using precision,recall,F1-Score,accuracy,G-Measure,and Matthew’s correlation coefficient.Results of the proposed model are compared with those of the support vector machine(SVM)and Naive Bayes(NB)models.Eclipse and Mozilla datasetswere used as the sources of bug reports.The proposed model improved the bug repository management and out-performed the SVM and NB models.Additionally,the proposed model used a weaker attribute independence supposition than the former models,thereby improving prediction accuracy with minimal computational cost.
基金support from the Bill&Melinda Gates Foundationthe National Natural Science Foundation of China(No.81402748)Chinese Academy of Medical Sciences Initiative for Innovative Medicine(No.2017-I2M-3-005)
文摘Objective： CareHPV is a human papillomavirus （HPV） DNA test for low-resource settings （LRS）. This study assesses optimum triage strategies for careHPV-positive women in LRS. Methods： A total of 2,530 Chinese women were concurrently screened for cervical cancer with visual inspection with acetic acid （VIA）, liquid-based cytology and HPV testing by physician- and self-collected careHPV, and physician-collected Hybrid Capture 2 （HC2）. Screen-positive women were referred to colposcopy with biopsy and endocervical curettage as necessary. HPV-positivity was defined as _〉1.0 relative light units/cutoff （RLU/CO） for both careHPV and HC2. Primary physician-HC2, physician-careHPV and self-careHPV and in sequential screening with cytology, VIA, or increased HPV test-positivity performance, stratified by age, were assessed for cervical intraepithelial neoplasia （CIN） grade 2/3 or worse （CIN2/3＋） detection. Results： The sensitivities and specificities of primary HPV testing for CIN2＋ were： 83.8%, 88.1% for physician- careHPV; 72. 1%, 88.2% for self-careHPV; and 97.1%, 86.0% for HC2. Physician-careHPV test-positive women with VIA triage had a sensitivity of 30.9% for CIN2＋ versus 80.9% with cytology triage. Self-careHPV test- positive women with VIA triage was 26.5% versus 66.2 % with cytology triage. The sensitivity of HC2 test-positive women with VIA triage was 38.2 % versus 92.6% with cytology triage. The sensitivity of physician-careHPV testing for CIN2＋ decreased from 83.8% at _〉1.0 RLU/CO to 72.1% at _〉10.00 RLU/CO, while the sensitivity of self- careHPV testing decreased from 72.1% at _〉1.0 RLU/CO to 32.4% at _〉10.00 RLU/CO; similar trends were seen with age-stratification. Conclusions： VIA and cytology triage improved specificity for CIN2/3 than no triage. Sensitivity with VIA triage was unsuitable for a mass-screening program. VIA provider training might improve this strategy. Cytology triage could be feasible where a high-quality cytology program exists. Triage of HPV test-positive women by increased test positivity cutoff adds another LRS triage option.
文摘Objective:To evaluate the efficiency of p16/Ki-67 dual stain used as a triage in cervical cancer screening.Methods:In this study,we did 468 p16/Ki-67 dual stain in human papillomavirus(HPV)16/18-positive or 12 other high-risk HPV(OHR-HPV)positive Thinprep cytologic test(TCT)atypical squamous cells of undetermined significance(ASCUS)/lower-grade squamous intraepithelial lesion(LSIL)women.We evaluated the sensitivity,specificity,positive predictive value(PPV)and negative predictive value(NPV)of the triage test.Results:The sensitivity,specificity,PPV and NPV of p16/Ki-67 dual stain in HPV 16/18-positive women were91.5%/68.4%,77.0%/75.0%,73.9%/59.1%and 92.8%/81.8%.In 12 OHR-HPV positive TCT ASCUS/LSIL women,the results were 79.1%/95.0%,88.5%/66.7%,88.5%/70.4%and 89.2%/94.1%.The risk of precancerous lesions in p16/Ki-67 dual stain positive cases was much higher than before,and the negative cases had lower risk.Besides,there was no cervical intraepithelial neoplasia(CIN)III case missed after triaged by p16/Ki-67 dual-stained cytology.In p16/Ki-67 dual-stained cytology positive women with benign pathology or CIN I,the 1-year progression rate is 20.5%and in p16/Ki-67 dual-stained cytology negative women,the 1-year progression rate is5.6%.Conclusions:hr-HPV genotyping test plays an important role in cervical cancer screening.p16/Ki-67 dual stain may be a promising triage test.As for chronic cervicitis or CIN I patients,a positive p16/Ki-67 dual-stained cytology suggests a high risk in progression and need to be followed up closely.
基金National Health Commission(formerly Health and Family Planning Commission)of China(No.201502004)CAMS Innovation Fund for Medical Sciences(CIFMS)(No.2021-I2M-1-004)the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(No.2019PT320010 and No.2018PT32025)。
文摘Objective:We aimed to evaluate the effectiveness of different triage strategies for high-risk human papillomavirus(hrHPV)-positive women in primary healthcare settings in China.Methods:This study was undertaken in 11 rural and 9 urban sites.Women aged 35-64 years old were enrolled.HrHPV-positive women were randomly allocated to liquid-based cytology(LBC),visual inspection with acetic acid and Lugol’s iodine(VIA/VILI)(rural only)triage,or directly referred to colposcopy(direct COLP).At 24 months,hrHPV testing,LBC and VIA/VILI were conducted for combined screening.Results:In rural sites,1,949 hrHPV-positive women were analyzed.A total of 852,218 and 480 women were randomly assigned to direct COLP,LBC and VIA/VILI.At baseline,colposcopy referral rates of LBC or VIA/VILI triage could be reduced by 70%-80%.LBC(n=3 and n=7)or VIA/VILI(n=8 and n=26)could significantly decrease the number of colposcopies needed to detect one cervical intraepithelial neoplasia(CIN)2 or worse and CIN3+compared with direct COLP(n=14 and n=23).For the 24-month cumulative detection rate of CIN2+,VIA/VILI triage was 0.50-fold compared with LBC triage and 0.46-fold with the direct COLP.When stratified by age,baseline LBC triage+performed best(P<0.001),peaking among women aged 35-44 years(Ptrend=0.002).In urban sites,1,728 women were hrHPV genotyping test positive.A total of 408,571 and 568women were randomly assigned to direct COLP for HPV16/18+,direct COLP for other hrHPV subtypes+,and LBC triage for other hrHPV subtypes+.LBC(n=12 and n=31)significantly decreased the number of colposcopies needed to detect one CIN2+and CIN3+compared with direct COLP(n=14 and n=44).HPV16/18+increased the 24-month cumulative detection rate of CIN2+(17.89%,P<0.001).Conclusions:LBC triage for hrHPV-positive women in rural settings and direct COLP for HPV16/18+women and LBC triage for other hrHPV subtype+women in urban settings might be feasible strategies.
基金the Vice Chancellor of Research in Mashhad University of Medical Sciences(Grant No.950170)
文摘BACKGROUND:It is not clear whether Emergency Severity Index(ESI)is valid to triage heart failure(HF)patients and if HF patients benefi t more from a customized triage scale or not.The aim of study is to compare the effect of Heart Failure Triage Scale(HFTS)and ESI on mistriage among patients with HF who present to the emergency department(ED).METHODS:A randomized clinical trial was conducted from April to June 2017.HF patients with dyspnea were randomly assigned to HFTS or ESI groups.Triage level,used resources and time to electrocardiogram(ECG)were compared between both groups among HF patients who were admitted to coronary care unit(CCU),cardiac unit(CU)and discharged patients from the ED.Content validity was examined using Kappa designating agreement on relevance(K*).Reliability of both scale was evaluated using inter-observer agreement(Kappa).RESULTS:Seventy-three and 74 HF patients were assigned to HFTS and ESI groups respectively.Time to ECG in HFTS group was signifi cantly shorter than that of ESI group(2.05 vs.16.82 minutes).Triage level between HFTS and ESI groups was signifi cantly different among patients admitted to CCU(1.0 vs.2.8),cardiac unit(2.26 vs.3.06)and discharged patients from the ED(3.53 vs.2.86).Used resources in HFTS group was significantly different among triage levels(H=25.89;df=3;P<0.001).CONCLUSION:HFTS is associated with less mistriage than ESI for triaging HF patients.It is recommended to make use of HFTS to triage HF patients in the ED.
文摘BACKGROUND: Although the Australasian Triage Scale(ATS) has been developed two decades ago, its reliability has not been def ined; therefore, we present a meta-analyis of the reliability of the ATS in order to reveal to what extent the ATS is reliable.DATA SOURCES: Electronic databases were searched to March 2014. The included studies were those that reported samples size, reliability coefficients, and adequate description of the ATS reliability assessment. The guidelines for reporting reliability and agreement studies(GRRAS) were used. Two reviewers independently examined abstracts and extracted data. The effect size was obtained by the z-transformation of reliability coefficients. Data were pooled with random-effects models, and meta-regression was done based on the method of moment's estimator.RESULTS: Six studies were included in this study at last. Pooled coefficient for the ATS was substantial 0.428(95%CI 0.340–0.509). The rate of mis-triage was less than fifty percent. The agreement upon the adult version is higher than the pediatric version.CONCLUSION: The ATS has shown an acceptable level of overall reliability in the emergency department, but it needs more development to reach an almost perfect agreement.
基金supported by grants from SingHealth Talent Development Fund,Singapore(TDF/CS001/2006)InfoComm Research Cluster,Nanyang Technological University,Singapore(2006ICT09)
文摘BACKGROUND:This study was undertaken to validate the use of the modified early warning score(MEWS) as a predictor of patient mortality and intensive care unit(ICU)/ high dependency(HD)admission in an Asian population.METHODS:The MEWS was applied to a retrospective cohort of 1 024 critically ill patients presenting to a large Asian tertiary emergency department(ED) between November 2006 and December2007.Individual MEWS was calculated based on vital signs parameters on arrival at ED.Outcomes of mortality and ICU/HD admission were obtained from hospital records.The ability of the composite MEWS and its individual components to predict mortality within 30 days from ED visit was assessed.Sensitivity,specificity,positive and negative predictive values were derived and compared with values from other cohorts.A MEWS of ≥4 was chosen as the cut-off value for poor prognosis based on previous studies.RESULTS:A total of 311(30.4%) critically ill patients were presented with a MEWS ≥4.Their mean age was 61.4 years(SD 18.1) with a male to female ratio of 1.10.Of the 311 patients,53(17%)died within 30 days,64(20.6%) were admitted to ICU and 86(27.7%) were admitted to HD.The area under the receiver operating characteristic curve was 0.71 with a sensitivity of 53.0%and a specificity of 72.1%in addition to a positive predictive value(PPV) of 17.0%and a negative predictive value(NPV)of 93.4%(MEWS cut-off of ≥4) for predicting mortality.CONCLUSION:The composite MEWS did not perform well in predicting poor patient outcomes for critically ill patients presenting to an ED.
文摘BACKGROUND： The purpose of triage is to identify patients needing immediate resuscitation, toassign patients to a pre-designed patient care area, and to initiate diagnostic/therapeutic measures asappropriate. This study aimed to use emergency severity index （ESI） in a pediatric emergency room.METHODS： From July 2006 to August 2010, a total of 21 904 patients visited the InternationalDepartment of Beijing Children＇s Hospital. The ESI was measured by nurses and physicians, andcompared using SPSS.RESULTS： Nurses of the hospital took approximately 2 minutes for triage. The results of triagemade by nurses were similar to those made by doctors for ESI in levels 1-3 patients. This findingindicated that the nurses are able to identify severe pediatric cases.CONCLUSION： In pediatric emergency rooms, ESI is a suitable tool for identifying severecases and then immediate interventions can be performed accordingly.
