CHAPTER ONE
INTRODUCTION
1.0 Introduction
Detecting diseases at early stage can help to overcome and treat them appropriately. Identifying the treatment accurately depends on the method that is used in diagnosing the diseases. A Diagnosis Expert System (DExS) can help a great deal in identifying those diseases and describing methods of treatment to be carried out taking into account the user capability in order to deal and interact with expert system easily and clearly. Present expert system uses inference rules and plays an important role that will provide certain methods of diagnosis for treatment.
Computer-based methods are increasingly used to improve the quality of medical services. Artificial Intelligence (Al) is the area of computer science focusing on, creating expert machines that can engage on behaviors that humans consider intelligent. The proposed system DExS is for dealing with the problem of a disease diagnosis as an’ expert system.
An expert system is a system that employs human knowledge captured in a computer to solve problems that ordinarily require human expertise. Expert system seeks and utilizes relevant information from their human users and from available knowledge bases in order to make recommendations. The data and knowledge of’ DExS are collected from different sources. The first primary source is the medical knowledge of expert doctors. The second source is from specialized databases, books and a few electronic websites.
On the other hand Avian Fever also called Bird flu or avian influenza is a viral infection that can also infect humans and other animals. Most forms of the virus are restricted to birds. Currently, the virus isn’t known to spread via human-to human contact. Still, some experts’ worry that H5N1 may pose a risk of becoming a pandemic threat to humans.
One may have H5N1 if you experience typical flu-like symptoms such as: