Web-based Fuzzy Expert System for Diabetes Diagnosis

Authors

  • Mujawar IK Department of Computer Science, Vivekanand College, Shivaji University, Kolhapur, India
  • Jadhav BT Department of Electronics and Computer Science,YCIS, Satara, Shivaji University, Kolhapur, India

DOI:

https://doi.org/10.26438/ijcse/v7i2.9951000

Keywords:

Dibetes Mellitus, Expert System, Fuzzy Logic, Fuzzy Expert System

Abstract

The proposed work presents an outline and execution of online fuzzy expert system for diabetes diagnosis (WebFESDD). This work proposes a rule-based expert system where fuzzy logic was used. It was actualized online for the determination of diabetes disease using open source development environment. Doctors, diabetes experts and patients can utilize Web- FESDD for diabetes diagnosis as an intelligent diagnostic system. Fuzzy expert systems are able to handle imprecise data which occurs in process of disease diagnosis and treatment. Fuzzy Logic is highly suitable and applicable in designing expert systems in medicine context; especially in disease diagnosis procedure and in treatment plan. Open source programming advancement features and conditions were utilized to create and complete the proposed work.

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Published

2019-02-28
CITATION
DOI: 10.26438/ijcse/v7i2.9951000
Published: 2019-02-28

How to Cite

[1]
I. Mujawar and B. Jadhav, “Web-based Fuzzy Expert System for Diabetes Diagnosis”, Int. J. Comp. Sci. Eng., vol. 7, no. 2, pp. 995–1000, Feb. 2019.

Issue

Vol. 7 No. 2 (2019): IJCSE February Edition

Section

Research Article

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