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Methods Inf Med 1997; 36(04/05): 349-351
DOI: 10.1055/s-0038-1636858
Original Article
Schattauer GmbH

Decision Support for Psychiatric Diagnosis Based on a Simple Questionnaire

K. Yana
5   Department of Electronic Informatics, Hosei University, Tokyo, Japan
,
H. Mizuta
5   Department of Electronic Informatics, Hosei University, Tokyo, Japan
,
K. Kawachi
5   Department of Electronic Informatics, Hosei University, Tokyo, Japan
,
H. Yoshida
1   Dept. of Electronic System and Information Eng., Kinki University, Wakayama
,
K. Iida
2   Fundamental Research Laboratories, NEC Corporation, Ibaraki
,
Y. Okubo
3   Dept. of Neuropsychiatry, Tokyo Medical and Dental University, Tokyo
,
M. Tohru
3   Dept. of Neuropsychiatry, Tokyo Medical and Dental University, Tokyo
,
F. Okuyama
4   Division of Hospital Information, Tokyo Medical and Dental University, Tokyo, Japan
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Publikationsverlauf

Publikationsdatum:
19. Februar 2018 (online)

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Abstract:

This paper compares two classifiers: Pseudo Bayesian and Neural Network for assisting in making diagnoses of psychiatric patients based on a simple yes/no questionnaire which is provided at the outpatient’s first visit to the hospital. The classifiers categorize patients into three most commonly seen ICD classes, i.e. schizophrenic, emotional and neurotic disorders. One hundred completed questionnaires were utilized for constructing and evaluating the classifiers. Average correct decision rates were 73.3% for the Pseudo Bayesian Classifier and 77.3% for the Neural Network classifier. These rates were higher than the rate which an experienced psychiatrist achieved based on the same restricted data as the classifiers utilized. These classifiers may be effectively utilized for assisting psychiatrists in making their final diagnoses.

Keywords:

Bayesian Classification - Neural Network - ICD-10 - Psychiatric Diagnosis - Pattern Recognition
 

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