Human Disease Diagnosis Using a Fuzzy Expert System
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.
Cite
@article{arxiv.1006.4544,
title = {Human Disease Diagnosis Using a Fuzzy Expert System},
author = {Mir Anamul Hasan and Khaja Md. Sher-E-Alam and Ahsan Raja Chowdhury},
journal= {arXiv preprint arXiv:1006.4544},
year = {2010}
}
Comments
IEEE Publication Format, https://sites.google.com/site/journalofcomputing/