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An Expert System To Diagnose Herpes Zoster Disease Using Bayes Theorem
- 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.
- Subjects :
- business.industry
Computer science
media_common.quotation_subject
fungi
food and beverages
Disease
Certainty
computer.software_genre
Machine learning
Expert system
Field (computer science)
Bayes' theorem
Forward chaining
Artificial intelligence
Herpes zoster disease
Degree of certainty
business
computer
media_common
Subjects
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