Explainable Machine Learning Approach for Hepatitis C Diagnosis Using SFS Feature Selection

Explainable Machine Learning Approach for Hepatitis C Diagnosis Using SFS Feature Selection

Hepatitis C is a significant public health concern, resulting in substantial morbidity and mortality worldwide. Early diagnosis and effective treatment are essential to prevent the disease’s progression to chronic liver disease. Machine learning algorithms have been increasingly used to develop pred...

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Bibliographic Details
Main Authors: Ali Mohd Ali, Mohammad R. Hassan, Faisal Aburub, Mohammad Alauthman, Amjad Aldweesh, Ahmad Al-Qerem, Issam Jebreen, Ahmad Nabot
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Machines
Subjects:
hepatitis C
data augmentation
feature selection
classification algorithms
machine learning
SHAP
Online Access:https://www.mdpi.com/2075-1702/11/3/391

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