Development of a Web Development of a Web Development of a Web Development of a Web----based Diagnosis System based Diagnosis System based Diagnosis System based Diagnosis System
A Bayesian Classifier Technique is used to diagnose patient based on Twenty-Six dataset features which were used to predict the likelihood of any of the five common diseases among students in Yaba College of Technology.
Abstract
ABSTRACTABSTRACT ABSTRACT A web-based medical diagnosis system is a system that determines which diseases or condition explain a person’s symptoms at anytime, anywhere by any person. Diagnosing a patient is a major challenge in the healthcare service delivery because a symptom might represent several diseases or disorder which do not give a precise information about what is wrong with the patient. This paper uses a Bayesian Classifier Technique to diagnose patient based on Twenty-Six dataset features which were used to predict the likelihood of any of the five common diseases (Malaria, Typhoid, Yellow Fever, Cholera and Tuberculosis) among students in Yaba College of Technology. Visual Analogue Scale for medical diagnosis was used to evaluate the result of the Bayesian Classifier in no disease, mild disease, moderate and severe disease for the severity level of the diseases which determines the recommendation for further treatment.