IHCP: interpretable hepatitis C prediction system based on black-box machine learning models
Abstract 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 prop...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-09-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05456-0 |