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A Fuzzy Differential Diagnosis of Headache Applying Linear Regression Method and Fuzzy Classification

  • Jeong Yong Ahn*
  • , Young Hyun Kim
  • , Soon Ki Kim
  • *Corresponding author for this work
  • Jeonbuk National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

The fuzzy set framework can be utilized in several different approaches to modeling the diagnostic process. In this paper, we introduce two main relations between symptoms and diseases where the relations are described by intuitionistic fuzzy set data. Also, we suggest four measures for medical diagnosis. We are dealing with the preliminary diagnosis from the information of interview chart. We quantify the qualitative information based on the interview chart by dual scaling. Prototype of fuzzy diagnostic sets and the linear regression methods are established with these quantified data. These methods can be used to classify new patient's tone of diseases with certain degrees of belief and its concerned symptoms.

Original languageEnglish
Pages (from-to)2790-2793
Number of pages4
JournalIEICE Transactions on Information and Systems
VolumeE86-D
Issue number12
StatePublished - 2003.12

Keywords

  • Fuzzy differential diagnosis
  • Intuitionistic fuzzy set
  • Quantified data

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Data Science

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