Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection

Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection

Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Health Organization, 2023). Consequently, there is a pressing need for early diagnostic methods for HCV. This study investigates the prognostic accuracy of several ensemble machine learning (ML) models fo...

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Bibliographic Details
Main Authors: Tusher, Ekramul Haque, Mohd Arfian, Ismail, Akib, Abdullah, Gabralla, Lubna A., Ashraf Osman, Ibrahim, Hafizan, Mat Som, Muhammad Akmal, Remli
Format: Article
Language:English
Published: Public Library of Science 2025
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
RA Public aspects of medicine
Online Access:http://umpir.ump.edu.my/id/eprint/45086/
http://umpir.ump.edu.my/id/eprint/45086/1/Comparative%20investigation%20of%20bagging%20enhanced%20machine%20learning.pdf

Internet

http://umpir.ump.edu.my/id/eprint/45086/
http://umpir.ump.edu.my/id/eprint/45086/1/Comparative%20investigation%20of%20bagging%20enhanced%20machine%20learning.pdf

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