A Diagnosis Expert System (DExS) can substantially aid in identifying diseases and describing treatment methods while considering the user's ability to cope with and engage with the expert system in a simple and plain manner.
ABSTRACT
INTRODUCTION
OBJECTIVES OF STUDY
WHAT IS A DIAGNOSIS EXPERT SYSTEM(DEXS)
HOW CAN EXPERT SESTEM PROGRAM APPLY?
SUGGESTION SOLUTION
SCREENSHOTS OF SOLVING PROBLEM
CONCLUSION
REFERENCE
Diagnosis Experts Systems is one of the first and most ongoing Artificial Intelligence projects. The agent-based diagnosis expert system for patients (DExS) is developed in this study based on an examination of the issues faced by current public health circumstances, such as the sharp increase in elderly patients, limited medical professionals, resources, and technology. [1] The installation of the technology will improve the quality of treatment provided to patients. The establishment of the system will make medical condition diagnosis quick and straightforward while also assuring that the diagnosis is correct and dependable. Patients who want to learn more about their health.
An expert system is computer software that mimics the decision-making abilities of a human expert. By doing so, it mimics the behavior of a human expert, using human knowledge to solve problems that would normally require human intelligence. Patients seek medical help for distinct reasons, including the diagnosis and treatment of various ailments. However, because many other diseases can cause fever, verifying the diagnosis of malaria can be difficult. It could be done to confirm a clinically suspected diagnosis or to gain more detailed information. Infection, for example, may signal the presence of malaria sickness in underdeveloped countries where malaria is widespread and is frequently associated with the "factor of development" known as poverty. Computer-based devices are rapidly being used to optimize the quality of medical services.
Expert systems are databases designed to mimic (copy) the expertise and knowledge of a human expert on diverse topics. Human specialists' knowledge is entered and stored in the system. Users of the expert system can challenge knowledge. The system looks through its database for anything that matches the information given by the user. In the same way, as human specialists, the expert system can provide answers to tough situations. [4] Diagnosis Expert System (DEXS) can substantially aid in the identification of diseases and the description of treatment methods while considering the user's ability to cope with and engage with the expert system simply and plainly.
Diagnosis systems are more popular among today's youth. The researchers used this information to create a knowledge-based Expert System for Medical Disease Diagnosis. The study's findings revealed that the system was well-received by the intended users and respondents. In terms of user acceptability, efficacy, quality, timeliness, and productivity, most target users and respondents are pleased with the system. Regrettably, most databases are proprietary and hard to obtain. Because some hospitals have already been employing computerized record systems instead of old paper-based systems, medical databases should have a bright future. Data generation for machine diagnosis should be simple. This method is generic, knowledge-based, and may be used to diagnose diseases with any rule-based expert system. We intend to expand the capabilities of our expert system by implementing more inference rules for semantic-based knowledge representation in the future, as well as performing real user studies with patients and medical professionals.