In today’s world,image processing techniques play a crucial role in the prognosis and diagnosis of various diseases due to the development of several precise and accurate methods for medical images.Automated analysis...In today’s world,image processing techniques play a crucial role in the prognosis and diagnosis of various diseases due to the development of several precise and accurate methods for medical images.Automated analysis of medical images is essential for doctors,as manual investigation often leads to inter-observer variability.This research aims to enhance healthcare by enabling the early detection of diabetic retinopathy through an efficient image processing framework.The proposed hybridized method combines Modified Inertia Weight Particle Swarm Optimization(MIWPSO)and Fuzzy C-Means clustering(FCM)algorithms.Traditional FCM does not incorporate spatial neighborhood features,making it highly sensitive to noise,which significantly affects segmentation output.Our method incorporates a modified FCM that includes spatial functions in the fuzzy membership matrix to eliminate noise.The results demonstrate that the proposed FCM-MIWPSO method achieves highly precise and accurate medical image segmentation.Furthermore,segmented images are classified as benign or malignant using the Decision Tree-Based Temporal Association Rule(DT-TAR)Algorithm.Comparative analysis with existing state-of-the-art models indicates that the proposed FCM-MIWPSO segmentation technique achieves a remarkable accuracy of 98.42%on the dataset,highlighting its significant impact on improving diagnostic capabilities in medical imaging.展开更多
Background: In sub-Saharan Africa, the DRC ranks among countries with high infant mortality. To solve this problem, the Health Ministry has set up a programme: the use of integrated management childhood illness (IMCI)...Background: In sub-Saharan Africa, the DRC ranks among countries with high infant mortality. To solve this problem, the Health Ministry has set up a programme: the use of integrated management childhood illness (IMCI) in community care sites (CCSs) managed by non-health professional persons known as community health workers (CHW). This approach has not yet been integrated into the health pyramid. This is why we chose the Realist Evaluation Approach to evaluate the effectiveness of this programme on Universal Access to care for children under 5 years of age in the DRC. Methods/design: To conduct this exploratory study which is essentially a descriptive case study, we applied the principles of a realist evaluation by context—mechanisms—effects explained in the conceptual framework. The preliminary theory of the programme was elaborated by data collection through a literature review coupled with semi-structured interviews with key informants who were managers of the government programme and technical and financial partners of the programme. Results: IMCI has been evaluated and shown its positive contribution in the reduction of global children mortality. In the DRC, summaries of data collection through a literature review coupled with semi-structured interviews showed the same result. However, under criticism, based on the data collected during this exploratory study, it is promisingly apparent that this programme will achieve the objectives assigned to it through the preliminary theory of the programme. Conclusion: The literature review corroborated the effectiveness of the IMCI programme. The application of this programme in CCS with non-health professionals who are Community Health Workers has been shown to be effective in the DRC. Based on this reality, it was possible to define the basis for a realist evaluation of the effectiveness of the programme in CCS.展开更多
<strong>Introduction:</strong> DRC is one of Sub-Saharan Africa country with high infant and maternal mortality. The major problem is the underuse of health services because of inaccessibility on all front...<strong>Introduction:</strong> DRC is one of Sub-Saharan Africa country with high infant and maternal mortality. The major problem is the underuse of health services because of inaccessibility on all fronts and also the population under-information to the health and development problems. Community participation is one of the basic requirements and basic principles of the Primary Health Care to solve this problem. That is why we choose Mosango RHZ to assess the improvement of demand for health services with the involvement of community health workers. <strong>Methods:</strong> We conduct a cross-sectional study carried out in Mosango RHZ in 2019. The study combined a mixed method (quantitative and qualitative) based on the realist evaluation approach which takes into account the Context-Mechanisms-Effects explained in the conceptual framework model. <strong>Results:</strong> Four predictive factors determine the improvement of health indicators with the involvement of CHWS in activities of the Mosango RHZ: Having attended school (p = 0.000;OR = 0.150);Having sufficient theoretical knowledge on malaria, diarrhoea, pneumonia, malnutrition, availability of inputs to treat these diseases (p = 0.004;OR = 0.192);Having taken the training as CHWS and Having undergone more than one training as CHW (p = 0.013;OR = 0.074). This result corroborated with other studies carried in low- and middle-income countries like DRC. <strong>Conclusion:</strong> The involvement of CHWs on improving demand for health services is effective in Mosango RHZ. The improvement of health service indicators and the effectiveness of this community intervention were conditioned by capacity building of the CHWs, the availability of inputs and the involvement of the community in the activities of the health zone through the Community Action Cells.展开更多
基金Scientific Research Deanship has funded this project at the University of Ha’il–Saudi Arabia Ha’il–Saudi Arabia through project number RG-21104.
文摘In today’s world,image processing techniques play a crucial role in the prognosis and diagnosis of various diseases due to the development of several precise and accurate methods for medical images.Automated analysis of medical images is essential for doctors,as manual investigation often leads to inter-observer variability.This research aims to enhance healthcare by enabling the early detection of diabetic retinopathy through an efficient image processing framework.The proposed hybridized method combines Modified Inertia Weight Particle Swarm Optimization(MIWPSO)and Fuzzy C-Means clustering(FCM)algorithms.Traditional FCM does not incorporate spatial neighborhood features,making it highly sensitive to noise,which significantly affects segmentation output.Our method incorporates a modified FCM that includes spatial functions in the fuzzy membership matrix to eliminate noise.The results demonstrate that the proposed FCM-MIWPSO method achieves highly precise and accurate medical image segmentation.Furthermore,segmented images are classified as benign or malignant using the Decision Tree-Based Temporal Association Rule(DT-TAR)Algorithm.Comparative analysis with existing state-of-the-art models indicates that the proposed FCM-MIWPSO segmentation technique achieves a remarkable accuracy of 98.42%on the dataset,highlighting its significant impact on improving diagnostic capabilities in medical imaging.
文摘Background: In sub-Saharan Africa, the DRC ranks among countries with high infant mortality. To solve this problem, the Health Ministry has set up a programme: the use of integrated management childhood illness (IMCI) in community care sites (CCSs) managed by non-health professional persons known as community health workers (CHW). This approach has not yet been integrated into the health pyramid. This is why we chose the Realist Evaluation Approach to evaluate the effectiveness of this programme on Universal Access to care for children under 5 years of age in the DRC. Methods/design: To conduct this exploratory study which is essentially a descriptive case study, we applied the principles of a realist evaluation by context—mechanisms—effects explained in the conceptual framework. The preliminary theory of the programme was elaborated by data collection through a literature review coupled with semi-structured interviews with key informants who were managers of the government programme and technical and financial partners of the programme. Results: IMCI has been evaluated and shown its positive contribution in the reduction of global children mortality. In the DRC, summaries of data collection through a literature review coupled with semi-structured interviews showed the same result. However, under criticism, based on the data collected during this exploratory study, it is promisingly apparent that this programme will achieve the objectives assigned to it through the preliminary theory of the programme. Conclusion: The literature review corroborated the effectiveness of the IMCI programme. The application of this programme in CCS with non-health professionals who are Community Health Workers has been shown to be effective in the DRC. Based on this reality, it was possible to define the basis for a realist evaluation of the effectiveness of the programme in CCS.
文摘<strong>Introduction:</strong> DRC is one of Sub-Saharan Africa country with high infant and maternal mortality. The major problem is the underuse of health services because of inaccessibility on all fronts and also the population under-information to the health and development problems. Community participation is one of the basic requirements and basic principles of the Primary Health Care to solve this problem. That is why we choose Mosango RHZ to assess the improvement of demand for health services with the involvement of community health workers. <strong>Methods:</strong> We conduct a cross-sectional study carried out in Mosango RHZ in 2019. The study combined a mixed method (quantitative and qualitative) based on the realist evaluation approach which takes into account the Context-Mechanisms-Effects explained in the conceptual framework model. <strong>Results:</strong> Four predictive factors determine the improvement of health indicators with the involvement of CHWS in activities of the Mosango RHZ: Having attended school (p = 0.000;OR = 0.150);Having sufficient theoretical knowledge on malaria, diarrhoea, pneumonia, malnutrition, availability of inputs to treat these diseases (p = 0.004;OR = 0.192);Having taken the training as CHWS and Having undergone more than one training as CHW (p = 0.013;OR = 0.074). This result corroborated with other studies carried in low- and middle-income countries like DRC. <strong>Conclusion:</strong> The involvement of CHWs on improving demand for health services is effective in Mosango RHZ. The improvement of health service indicators and the effectiveness of this community intervention were conditioned by capacity building of the CHWs, the availability of inputs and the involvement of the community in the activities of the health zone through the Community Action Cells.
