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IEICE Transactions on Information and Systems 2008 E91-D(4):1215-1217; doi:10.1093/ietisy/e91-d.4.1215
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Copyright © 2008 The Institute of Electronics, Information and Communication Engineers

Regular Section -- Letters -- Biological Engineering

A Fuzzy Method for Medical Diagnosis of Headache

Jeong-Yong AHN1, Kill-Sung MUN1, Young-Hyun KIM2, Sun-Young OH2 and Beom-Soo HAN3

1 The authors are with the Division of Mathematics and Statistical Informatics (Institute of Applied Statistics), Chonbuk National University, Chonbuk, 561–756 Korea. E-mail: jyahn{at}chonbuk.ac.kr, 2 The authors are with the Department of Neurology, School of Medicine, Chonbuk National University, Chonbuk, Korea., 3 The author is with the Department of Applied Statistics, Daejeon University, Korea. E-mail: gwhanbs{at}dju.ac.kr

In this note we propose a fuzzy diagnosis of headache. The method is based on the relations between symptoms and diseases. For this purpose, we suggest a new diagnosis measure using the occurrence information of patient's symptoms and develop an improved interview chart with fuzzy degrees assigned according to the relation among symptoms and three labels of headache. The proposed method is illustrated by two examples.

Key Words: fuzzy measure, interview chart, fuzzy differential diagnosis


Manuscript received June 22, 2007. Manuscript revised October 25, 2007.

Reference

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[2] J.Y. Ahn, Y.H. Kim, and S.K. Kim, "A fuzzy differential diagnosis of headache applying linear regression method and fuzzy classification," IEICE Trans. Inf. & Syst., vol.E86-D, no.12, pp.2790–2793, Dec. 2003.

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This Article
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Right arrow Articles by AHN, J.-Y.
Right arrow Articles by HAN, B.-S.
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