.Development of an Expert System for Diagnosis
and appropriate Medical Prescription of Heart
Disease Using SVM and RBF
Shaikh Abdul
Hannan1,
1Lecturer, Department
of Computer Science,
Vivekanand College,
Aurangabad,
Maharashtra, India,
hannan_7us@yahoo.com
V. D. Bhagile2,
2Lecturer, Department
of Computer Science,
Sayali College,
Aurangabad,
Maharashtra, India.
v_shinde68@yahoo.co.in
R. R. Manza3,
3Lecturer, Dept. of
Comp. Science and I.T.
Dr. B.A.M.University,
Aurangabad,
Maharashtra
manzaramesh@gmail.com
R. J. Ramteke4
4Reader, Dept. of
Computer Science,
North Maharashtra
University,
Jalgaon, Maharashtra,
rakeshramteke@yahoo.co.in
Abstract---
Human disease diagnosis is a complicated process and requires
high level of expertise. Any attempt of developing a expert system
dealing with human disease diagnosis has to overcome various
difficulties. This paper describes a project work aiming to
develop a expert system for diagnosing of heart disease using
neural network technique. Now a days neural network are being
used successfully in an increasing number of application areas.
This project includes the detailed information about patient and
preprocessing was done. The Support Vector Machine (SVM)
and Radial Basis Function (RBF) have been applied over the data
for the experiment. 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.
Keywords Neural Network, Support Vector Machine (SVM),
RBF (Radial Basis Function), Symptoms, Medicine.
I.
INTRODUCTION
Expert systems(ES) are artificial intelligence-base computer
programs that have received a great deal of attention during
years. These prog