Expert System for Diagnosis and Treatment of type ‖ Diabetes

Abstract

Expert Systems are systems built to imitate human experts in problem solving and decision making. Medical Expert Systems are breakthrough in medicine and proved beneficial in multiple critical areas such as Intensive Care Units(ICUs). Diabetes Mellitus is a chronic disease that affects a large population in the world. With this in mind, we aim to improve the diagnosis and evaluation process for diabetes by utilizing artificial intelligence technology to build and validate a prototype expert system . This expert system will be able to: - Perform correct screening, - Deduct if the patient is diabetic or not, if so, determines the type of diabetes, and its severity, or its complications and risks if not diabetic. - Suggest appropriate treatment. Thus, the system serve as a health education and awareness system. We are aiming to implementation of a prototype medical expert system to aid nurses . nurses may use the software (diabetes tracer ) as a diagnostic and reference tool . the software can facilitate early detection and diagnosis of diabetes . the prototype uses a knowledge-based system with a front-end text-based interface that enables nurses to answer diagnostic questions and enter laboratory results . the system output is the diagnosis and treatment plan to be followed .