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IHCP: interpretable hepatitis C prediction system based on black-box machine learning models

6 Sept 2023

Abstract excerpt

BACKGROUND: Hepatitis C is a prevalent disease that poses a high risk to the human liver. Early diagnosis of hepatitis C is crucial for treatment and prognosis. Therefore, developing an effective medical decision system is essential. In recent years, many computational methods have been proposed to identify hepatitis C patients. Although existing hepatitis prediction models have achieved good results in terms of...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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PMID: 37674125
DOI: 10.1186/s12859-023-05456-0

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