GENERAL INTRODUCTION
Medical establishments like hospitals, rehabilitation centers, health-saloons etc. are seen as figures of hope when struck with illness. Just like other organizations, medical establishments are also well-organized, following rigid and complex processes. In recent years, records have shown an increase in inaccuracy and imprecision in medical diagnosis as most patient who are unable to a clinic for proper diagnosis end up treating sickness inappropriately. The advent of computer and internet has made it possible for millions to access proper medical diagnosis and are administer correct treatment procedures. Today, several algorithm, models and technologies are put in place to ensure accurate and precise diagnosis on patient which in turns has reduce the rate of mortality in the country and world at large. One of such technologies is fuzzy logics
Online Medical Diagnosis Software(OMDS) automates the whole process of patience diagnosis with accurate and precise result using a well detail and proven algorithm to achieve it desire output, one of such algorithm is fuzzy logic a branch of artificial intelligent. Using the software will remove all such complexities as it helps you retrieve your information accurately.
1.2.0 INTRODUCTION
Chapter one introduces the research work and the problem definition of the research, and to know the aim of this research work, research justification tells us why it is important to research on this topic; it also covers areas like scope and limitation of study which entails the boundary of this work. Definition of terms gives summarize what each chapter entails.
1.3.0 PROBLEM DEFINITION
This research work OMDS was undertaken to uncover some of the problems that characterized the traditional method of medical diagnostic which has taken many lives. Here patient take drugs base on ancient myth, past experience and drugs availability not knowing that same symptom can cut across several illnesses and thereby engaging in drugs abuse.The propose OMDS is meant to diagnose various diseases in an expert system such as Malaria, Typhoid, Cholera, Ebola etc. Fuzzy logic is chosen as the artificial intelligence tool employed in the proposed system because it is one of the most efficient qualitative computation methods
1.4.0 OBJECTIVE OF STUDY
In view of the problems mentioned above, this project is aimed at implementing Online Medical Diagnosis Software (OMDS) which will exclusively:
Diagnose and display accurate result from the selected symptom selected by the patient or users
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