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Takata, Nogawa, Nagata, Gomi, and Tanaka: Implementation of Medical Diagnostic System Based on Epidemiological Data
Original Article

Journal of Korean Society of Medical Informatics 2007; 13(2): 181-185.

Published online: 30 June 2007

DOI: https://doi.org/10.4258/jksmi.2007.13.2.181

Implementation of Medical Diagnostic System Based on Epidemiological Data

Hideaki Takata, Hiroki Nogawa, Hiroshi Nagata, Yuichiro Gomi, Hiroshi Tanaka

Tokyo Medical and Dental University, Department of Medicine, Japan.

Tokyo Medical and Dental University, Center of Information for Medicine, Japan.

Toyohashi Sozo University, Faculty of Business and Informatics, Japan.

Copyright © Korean Society of Medical Informatics

Abstract

OBJECTIVE

We implemented automatic online medical consultation software. It infers disease of patients with knowledge about symptoms and the epidemiologic data. And we compared its performance of inference with that of human doctors.

METHODS

This software accepts information about users' age, sex, and symptoms, lists up diseases compatible with these information, and sorts diseases by probability. We implement this software with Ruby and C.

RESULTS

We compared diseases listed up by this software with those that by two human doctors, and found that 1) 90% of confirmed diagnoses was included in the list this software inferred, and 2) more than 50% of diseases in the list this software inferred are same diseases as ones both of two human doctors inferred.

CONCLUSION

This software can not determine final diagnosis. But this software lists up probable diseases only by interview. Then we believe this software will be useful for patients when they want to check themselves before consulting their doctor. We believe that this software will be useful for patients to check their health status.

Keywords: Medical Diagnostic Support System, Instant Consulting, Web Application, Epidemiological Data

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