DESIGN AND IMPLEMENTATION OF MEDICAL EXPERT SYSTEM
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DESIGN AND IMPLEMENTATION OF MEDICAL EXPERT SYSTEM
Chapter one
INTRODUCTION
1.1 Background of the Study
An expert system is a software system that aims to replicate the performance of one or more human experts, typically in a specific issue area. It is a conventional application and/or subfield of AI. A broad number of ways can be employed to imitate the performance of the expert, but common to most or all of them
The establishment of a so-called “knowledgebase,” which uses some knowledge representation formalism to record the subject matter experts’ (SME) knowledge and
Knowledge engineering is the process of acquiring knowledge from subject matter experts and codifying it according to a formalism.
Expert systems may or may not include learning components, but a third common feature is that once constructed
the system is tested by placing it in the same real-world problem-solving environment as the human SME, either as an assistance to human workers or as a supplement to some information system.
As a leading application of computing and artificial intelligence, expert systems shares many similarities with general systems theory, operations research, business process reengineering, and a variety of areas in applied mathematics and management science.
Two examples of actual expert systems can demonstrate how they work. In one real-world scenario at a chemical refinery, a senior employee was ready to retire, and the firm was concerned that losing his experience in maintaining a fractionating tower would have a significant impact on plant operations.
A knowledge engineer was tasked with developing an expert system that replicated his skills, thereby preserving the organisation from losing its valuable knowledge asset.
Similarly, a system called Mycin was developed based on the expertise of the best bacterial infection diagnosticians, and its performance was found to be comparable to or better than that of the average physician.
An early commercial success and example of another typical application (a task that is often deemed too difficult for a person) was an expert system developed by DEC in the 1980s to quality check the configurations of their computers before to delivery. Expert systems were most popular in the 1980s, but interest waned as the AI Winter began.
Similarly, establishing one of these systems to serve as a store of a medical doctor’s expertise is just as important as developing another expert system.
1.2 Statement of the Problem
Health care facilities should be accessible to everyone at all times. However, some of those who should have access to these facilities live a long distance away. Furthermore, with the few accessible facilities, skilled medical professionals are always critical issues that require immediate attention.
In light of the foregoing, it would be critical to provide a computerised system that will provide a complementary medical service, such as medical disease information, in areas where accessibility is a problem, as well as health care facilities where qualified experts are lacking, resulting in this topic, Medical Expert System.
1.3 Aim and Objectives of the Study
The objective of this research is to create an expert system for Delack hospitals. The aims include designing a system.
This contains publicly available medical information about specific disorders.
This demonstrates how a search engine can provide quick responses via email, allowing patients to self-examine based on basic clinical indicators.
Finally, it aims to contribute to academic research effort.
1.4 Methodology.
The system uses PHP as the design programme and MySQL as the database.
1.5 Significance of the Study
If this prototype is fully developed, it will be extremely valuable in many fields, including:
It can aid in retaining professional medical skills, supporting academic advancement, providing assistance in hospitals (both private and government), and facilitating rapid research in laboratories.
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