Proceedings of the First International Conference on Social Science, Humanity, and Public Health (ICOSHIP 2020)

Early Detection of Hepatitis by Using Certainty Factor

Authors
Andri Permana Wicaksno, Demiawan Rachmatta Putro Mudiono
Corresponding Author
Andri Permana Wicaksno
Available Online 2 January 2021.
DOI
https://doi.org/10.2991/assehr.k.210101.021How to use a DOI?
Keywords
artificial intelligence, hepatitis, certainty factor
Abstract
Artificial Intelligence (AI) is intelligence that is added to a system that can be set in a scientific context or can be called artificial intelligence, the ability of a system application to generate external data correctly, use learning to learn from data, and use it to achieve goals, specific tasks through adaptations contained in external. The purpose of this study is to develop a decision support system in early detection of hepatitis using artificial intelligence based on android Hepatitis is a virus that causes inflammation of the liver and can cause severe damage over time. The most common types are hepatitis A and B but hepatitis can also be caused by our immune system (autoimmune hepatitis). Common symptoms of hepatitis are yellow skin or jaundice. The method of early detection of the type of hepatitis in this study uses certainty factor. The result of this study is to provide accurate information in early detection of hepatitis type based on the patient’s evidence.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Andri Permana Wicaksno
AU  - Demiawan Rachmatta Putro Mudiono
PY  - 2021
DA  - 2021/01/02
TI  - Early Detection of Hepatitis by Using Certainty Factor
BT  - Proceedings of the First International Conference on Social Science, Humanity, and Public Health (ICOSHIP 2020)
PB  - Atlantis Press
SP  - 93
EP  - 97
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210101.021
DO  - https://doi.org/10.2991/assehr.k.210101.021
ID  - Wicaksno2021
ER  -