Pseudo Bayesian Screening of Psychiatric Patients

Kazuo YANA; Koji KAWACHI; Kazuhiro IIDA; Yoshio OKUBO; Michio TOHRU; Fumio OKUYAMA

Pseudo Bayesian Screening of Psychiatric Patients

Kazuo YANA, Koji KAWACHI, Kazuhiro IIDA, Yoshio OKUBO, Michio TOHRU, Fumio OKUYAMA

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This paper describes a method for screening psychiatric patients based on a questionnaire consisting of simple yes/no 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.

Publication: IEICE TRANSACTIONS on Information Vol.E78-D No.4 pp.508-510

Publication Date: 1995/04/25

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Type of Manuscript: LETTER

Category: Medical Electronics and Medical Information

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Kazuo YANA, Koji KAWACHI, Kazuhiro IIDA, Yoshio OKUBO, Michio TOHRU, Fumio OKUYAMA, "Pseudo Bayesian Screening of Psychiatric Patients" in IEICE TRANSACTIONS on Information, vol. E78-D, no. 4, pp. 508-510, April 1995, doi: .
Abstract: This paper describes a method for screening psychiatric patients based on a questionnaire consisting of simple yes/no 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.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e78-d_4_508/_p

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@ARTICLE{e78-d_4_508,
author={Kazuo YANA, Koji KAWACHI, Kazuhiro IIDA, Yoshio OKUBO, Michio TOHRU, Fumio OKUYAMA, },
journal={IEICE TRANSACTIONS on Information},
title={Pseudo Bayesian Screening of Psychiatric Patients},
year={1995},
volume={E78-D},
number={4},
pages={508-510},
abstract={This paper describes a method for screening psychiatric patients based on a questionnaire consisting of simple yes/no 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.},
keywords={},
doi={},
ISSN={},
month={April},}

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TY - JOUR
TI - Pseudo Bayesian Screening of Psychiatric Patients
T2 - IEICE TRANSACTIONS on Information
SP - 508
EP - 510
AU - Kazuo YANA
AU - Koji KAWACHI
AU - Kazuhiro IIDA
AU - Yoshio OKUBO
AU - Michio TOHRU
AU - Fumio OKUYAMA
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E78-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 1995
AB - This paper describes a method for screening psychiatric patients based on a questionnaire consisting of simple yes/no 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.
ER -