DESIGN AND IMPLEMENTATION OF A MEDICAL DIAGNOSIS SYSTEM

Student: Okezi Favour Isaac-Ejebe
Supervisor: Dr Oweimieotu E. Amanda
HOD: Dr Oweimieotu E. Amanda
Department of Computer Science
Science
Edwin Clark University, Kiagbodo, Delta State

Abstract

ABSTRACT This project aims to design and develop an AI-powered medical diagnosis system that assists healthcare professionals in accurately diagnosing diseases. The system utilizes machine learning algorithms and a vast medical knowledge base to analyze patient symptoms and medical history, providing a list of potential diagnoses and recommended treatments. The system's user-friendly interface enables easy data input and retrieval, facilitating clinical decision-making. The proposed system has the potential to improve diagnostic accuracy, reduce errors, and enhance patient care.

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