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An Expert System To Diagnose Herpes Zoster Disease Using Bayes Theorem

Authors :
Frinto Tambunan
Yudi
Muhammad Fauzi
Nita Sari Br Sembiring
Erwin Ginting
Edy Victor Haryanto
Source :
2019 7th International Conference on Cyber and IT Service Management (CITSM).
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Computers are often used as a tool that can give conclusions to a disease so that they can help the community or health practitioners. The 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' 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 result of this study is a system that has the 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.

Details

Database :
OpenAIRE
Journal :
2019 7th International Conference on Cyber and IT Service Management (CITSM)
Accession number :
edsair.doi...........6baa0c198007f9c3a2598a1fe573187a
Full Text :
https://doi.org/10.1109/citsm47753.2019.8965381