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Methods Inf Med 1995; 34(03): 232-243
DOI: 10.1055/s-0038-1634597
Original Article
Schattauer GmbH

A Psychiatric Diagnostic System Integrating Probabilistic and Categorical Reasoning

M. B. do Amaral
1   Division of Medical Informatics, Chiba University Hospital, Chiba, Japan
,
Y. Satomura
1   Division of Medical Informatics, Chiba University Hospital, Chiba, Japan
,
M. Honda
1   Division of Medical Informatics, Chiba University Hospital, Chiba, Japan
,
T. Sato
2   Department of Psychiatry, Chiba University Hospital, Chiba, Japan
› Author Affiliations
Further Information

Publication History

Publication Date:
16 February 2018 (online)

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Abstract:

We describe a diagnostic support system for clinical psychiatry and its evaluation results. The system has two inter-related components: a rule-based reasoning part associated with uncertainty, and a deterministic part, that uses heuristics to perform categorical reasoning. The system includes the 30 groups of psychiatric diagnoses which are classified under the categories 290 to 319 of the DSM-III-R and the ICD-9. There are, in fact, 1508 rules relating 208 clinical findings with 257 diagnoses. The reasoning strategy is based on selecting and differentiating diagnostic categories in a hierarchical classification tree. The system is intended to be used for education of medical students, and to help non-specialist clinicians, residents in psychiatry, or experts with few years of experience in decision making. We tested the diagnostic performance of the system using case reports extracted from a specialized journal. In 52.8% of the cases, the correct diagnosis was ranked as the first hypothesis using only the rule-based part. In combination with the deterministic strategy, the correct diagnosis could be made for 73.6% of the analyzed cases.

Keywords:

Artificial Intelligence - Psychiatry - DSM-III-R - Diagnostic Reasoning - Expert Systems
 

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