Human Disease Diagnosis Using a Fuzzy Expert System

TL;DR

This paper presents a web-based fuzzy expert system designed to assist in diagnosing human diseases, aiming to improve health information exchange and support practitioners in diagnosis corroboration.

Contribution

It develops a novel web-based fuzzy expert system for human disease diagnosis, enhancing diagnostic support and health information exchange.

Findings

System exhibits satisfactory diagnostic performance across scenarios

Fuzzy rules effectively model medical knowledge

Improves communication between healthcare professionals and patients

Abstract

Human disease diagnosis is a complicated process and requires high level of expertise. Any attempt of developing a web-based expert system dealing with human disease diagnosis has to overcome various difficulties. This paper describes a project work aiming to develop a web-based fuzzy expert system for diagnosing human diseases. Now a days fuzzy systems are being used successfully in an increasing number of application areas; they use linguistic rules to describe systems. This research project focuses on the research and development of a web-based clinical tool designed to improve the quality of the exchange of health information between health care professionals and patients. Practitioners can also use this web-based tool to corroborate diagnosis. The proposed system is experimented on various scenarios in order to evaluate it's performance. In all the cases, proposed system exhibits satisfactory results.