An Interpretable Machine Learning Approach for Hepatitis B Diagnosis

An Interpretable Machine Learning Approach for Hepatitis B Diagnosis

Hepatitis B is a potentially deadly liver infection caused by the hepatitis B virus. It is a serious public health problem globally. Substantial efforts have been made to apply machine learning in detecting the virus. However, the application of model interpretability is limited in the existing lite...

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Bibliographic Details
Main Authors: George Obaido, Blessing Ogbuokiri, Theo G. Swart, Nimibofa Ayawei, Sydney Mambwe Kasongo, Kehinde Aruleba, Ibomoiye Domor Mienye, Idowu Aruleba, Williams Chukwu, Fadekemi Osaye, Oluwaseun F. Egbelowo, Simelane Simphiwe, Ebenezer Esenogho
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
disease prediction
hepatitis B
interpretability
machine learning
Online Access:https://www.mdpi.com/2076-3417/12/21/11127

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