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Neuro-11:a new questionnaire for the assessment of somatic symptom disorder in general hospitals 被引量:2
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作者 Silin Zeng Yian Yu +15 位作者 Shan Lu Sirui Zhang Xiaolin Su ge dang Ying Liu Zhili Cai Siyan Chen Yitao He Xin Jiang Chanjuan Chen Lei Yuan Peng Xie Jianqing Shi Qingshan geng Rafael H Llinas Yi Guo 《General Psychiatry》 CSCD 2023年第4期248-259,共12页
Background Somatic symptom disorder(SSD)commonly presents in general hospital settings,posing challenges for healthcare professionals lacking specialised psychiatric training.The Neuro-11 Neurosis Scale(Neuro-11)offer... Background Somatic symptom disorder(SSD)commonly presents in general hospital settings,posing challenges for healthcare professionals lacking specialised psychiatric training.The Neuro-11 Neurosis Scale(Neuro-11)offers promise in screening and evaluating psychosomatic symptoms,comprising 11 concise items across three dimensions:somatic symptoms,negative emotions and adverse events.Prior research has validated the scale’s reliability,validity and theoretical framework in somatoform disorders,indicating its potential as a valuable tool for SSD screening in general hospitals.Aims This study aimed to establish the reliability,validity and threshold of the Neuro-11 by comparing it with standard questionnaires commonly used in general hospitals for assessing SSD.Through this comparative analysis,we aimed to validate the effectiveness and precision of the Neuro-11,enhancing its utility in clinical settings.Methods Between November 2020 and December 2021,data were collected from 731 patients receiving outpatient and inpatient care at Shenzhen People’s Hospital in China for various physical discomforts.The patients completed multiple questionnaires,including the Neuro-11,Short Form 36 Health Survey,Patient Health Questionnaire 15 items,Hamilton Anxiety Scale and Hamilton Depression Scale.Psychiatry-trained clinicians conducted structured interviews and clinical examinations to establish a gold standard diagnosis of SSD.Results The Neuro-11 demonstrated strong content reliability and structural consistency,correlating significantly with internationally recognised and widely used questionnaires.Despite its brevity,the Neuro-11 exhibited significant correlations with other questionnaires.A test-retest analysis yielded a correlation coefficient of 1.00,Spearman-Brown coefficient of 0.64 and Cronbach’sαcoefficient of 0.72,indicating robust content reliability and internal consistency.Confirmatory factor analysis confirmed the validity of the three-dimensional structure(p<0.001,comparative fit index=0.94,Tucker-Lewis index=0.92,root mean square error of approximation=0.06,standardised root mean square residual=0.04).The threshold of the Neuro-11 is set at 10 points based on the maximum Youden’s index from the receiver operating characteristic curve analysis.In terms of diagnostic efficacy,the Neuro-11 has an area under the curve of 0.67. 展开更多
关键词 validity dimensions SPITE
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基于综合差异挖掘的水电机组仿生智能故障诊断 被引量:3
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作者 陈晓玥 葛荡 +2 位作者 黄江平 刘雄 张晓燕 《机械强度》 CAS CSCD 北大核心 2020年第6期1271-1276,共6页
对于具有强耦合性和不确定性的水电机组故障,基于统一特征向量的故障表征方法容易淹没有效特征的表征效果,直接限制了故障诊断的准确性和时效性。鉴于此,提出一种仿生故障诊断方法,该方法模仿人脑思维,提出关联特征向量概念,并用特征选... 对于具有强耦合性和不确定性的水电机组故障,基于统一特征向量的故障表征方法容易淹没有效特征的表征效果,直接限制了故障诊断的准确性和时效性。鉴于此,提出一种仿生故障诊断方法,该方法模仿人脑思维,提出关联特征向量概念,并用特征选择树描述其逻辑结构,以特征提取树求取。以其嵌套结构深层次挖掘故障之间的错综复杂关系,实现对水电机组故障之间量差异和质差异的综合挖掘,深层次揭示不同故障间以及故障与特征之间的固有联系,有效提取不同故障的本质区别,提高故障表征的有效性。进而结合概率神经网络实现智能分类。实验结果表明,该方法能够完成水电机组的故障诊断,同时取得了优秀的诊断有效性和时效性。 展开更多
关键词 水电机组 关联特征向量 综合差异挖掘 仿生诊断 特征选择
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