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Pseudo Bayesian Screening of Psychiatric Patients

机译:精神病患者的伪贝叶斯筛查

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This paper describes a method for screening psychiatric patients based on a questionnaire consisting of simple yeso questions regarding to physical, mental conditions and subjective symptoms which is provided at their first visit to the . hospital. The analysis of the questionnaire is important to understand patients' background. One hundred filled out questionnaires were utilized for constructing and evaluating a pseude Bayesian classifier which classifies patients into three categories i.e. Schizophrenic, emotional and neurotic disorders with average correct prediction rate of 73.3%. The rate was 16.6% higher than the result given by experienced medical doctors and the method will be a useful mean for automatic screening of the psychiatric patients.
机译:本文描述了一种基于问卷的筛查精神病患者的方法,该问卷由有关首次就诊时的身体,精神状况和主观症状的简单是/否问题组成。医院。问卷的分析对于了解患者的背景非常重要。使用一百份填写的问卷来构建和评估伪贝叶斯分类器,该分类器将患者分为三类,即精神分裂症,情感性和神经性疾病,平均正确预测率为73.3%。该比率比有经验的医生给出的结果高16.6%,该方法将成为自动筛查精神病患者的有用手段。

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