Yap R H, Clarke D M
Dept. of Information Systems & Computer Science, National University of Singapore, Singapore.
Proc AMIA Annu Fall Symp. 1996:229-33.
Making a systematic and comprehensive psychiatric evaluation of mental disorders in a patient can be a rather complex and involving process. We describe an expert system, MILP, which is designed to produce such systematic diagnoses of mental disorders using selected categories from the classification and diagnostic guidelines published in DSM-III-R, DSM-IV and ICD-10. An innovative part of the MILP design is the incorporation of constraint-based reasoning as a key part of the system. We believe that the MILR design gives a flexible framework which is suitable in general for the automated diagnoses of large classes of mental disorders.
对患者的精神障碍进行系统全面的精神病学评估可能是一个相当复杂且涉及多方面的过程。我们描述了一个专家系统,即MILP,它旨在根据《精神疾病诊断与统计手册》第三版修订本(DSM-III-R)、《精神疾病诊断与统计手册》第四版(DSM-IV)以及《国际疾病分类》第十版(ICD-10)中公布的分类和诊断指南的选定类别,对精神障碍进行此类系统诊断。MILP设计的一个创新之处在于将基于约束的推理作为系统的关键部分。我们认为,MILR设计提供了一个灵活的框架,总体上适用于对大类精神障碍进行自动诊断。