An Expert System To Diagnose Herpes Zoster Disease Using Bayes Theorem

Abstract

Computers are often used as a tool that can give conclusions to a disease so that it can help the community or health practitioners. Expert system is a field of science that can process the knowledge of an expert into a computer-based system that can be used by many people. Expert systems use multiple search models to diagnose a disease. Forward Chaining is a search model that can be used to perform a symptom search of a disease. One of the diseases that can be diagnosed by using computer media is Herpes Zoster. Herpes Zoster is a disease that attacks the skin and mucosa. To provide a degree of certainty to the diagnosis can be used several methods, one of which Bayes Theorem. Bayes's Theorem is a method of calculating certainty that can be used to provide a degree of certainty of diagnosis of a disease by calculating each probability of each of its symptoms. The results of this study is a system that has knowledge such as a doctor to be able to diagnose herpes zoster disease. The diagnostic results obtained from the system will be reinforced by the level of certainty calculated using the bayes theorem.