An Improved Rule-Base Expert System for Diagnosis of Obesity

Abstract

:- In many developing countries there are inadequate healthcare facilities and few medical expert personnel. They often concentrate on emergency cases and the diseases they believe are life threatening overlooking the slow killer diseases such as Obesity. In this paper, we present a rule-based expert system that will allow medical experts and even Para-medics to diagnose patients of Obesity and its related diseases. The proposed system uses rule sets developed from getting information from Obesity experts to build a system that allow user to measure their weights, heights, blood pressure and feed the result into the system for diagnosis. The system uses the received input to compute the patient’s Body Mass Index (BMI) and using the rule set and the inbuilt expertise; it diagnoses the patient and makes informed reports. Object-oriented analysis and design methodology (OOADM) was used in designing the system. The model is implemented using PHP programming language and MySQL database.