FUZZY LOGIC BASED MULTI-FEVER DIAGNOSIS MODEL

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PUJA DAS
Fourth Year Student, Department of Electronics and Communication, Future Institute of Engineering and Management, Kolkata, India.
RIYA PAUL
Fourth Year Student, Department of Electronics and Communication, Future Institute of Engineering and Management, Kolkata, India.
SONIA SARKAR
Fourth Year Student, Department of Electronics and Communication, Future Institute of Engineering and Management, Kolkata, India.
DHIMAN BAIDYA
Fourth Year Student, Department of Electronics and Communication, Future Institute of Engineering and Management, Kolkata, India.
DIPANJAN GHOSH
Fourth Year Student, Department of Electronics and Communication, Future Institute of Engineering and Management, Kolkata, India.
TARUN KUMAR DAS
Assistant Professor, Department of Electronics and Communication, Future Institute of Engineering and Management, Kolkata, India.

Abstract

This paper deals with different types of Fever having different causes and types, but with similar symptoms. Therefore, making fever diagnosed with human physiological symptoms are way more complicated and time consuming. So we need an accurate and easy medical diagnosis to choose the right one within some fraction of time. This research project deals with the design of a web based multi-fever diagnosis system using Fuzzy symptom classifier with human self-observed physiological symptoms. Considering malaria, chikungunya, dengue, typhoid and influenza. The paper also discusses about working characteristics and advantages of Fuzzy Logic in fever diagnosis and capable to provide diagnosis whether patient suffers from fever or not. The fuzzy-symptom classifier will be based on given membership functions. We can hope this paper can give an overall view about the diagnosis system.

Article Details

Issue
Vol 2 No 1 (2018): International Journal on Recent Innovation in Instrumentation & Control Engineering
Section
Articles