A potential new way to facilitate HCV elimination: The prediction of viremia in anti-HCV seropositive patients using machine learning algorithms.

Journal: Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology

PMID: 38705815

Abstract

BACKGROUND AND STUDY AIMS: The present study was undertaken to design a new machine learning (ML) model that can predict the presence of viremia in hepatitis C virus (HCV) antibody (anti-HCV) seropositive cases.

Authors

Tayibe Bal

Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Abant Izzet Baysal University, Bolu, Turkey. Electronic address: dr.tayibal@gmail.com.
Emre Dirican

Department of Biostatistics, Faculty of Medicine, Hatay Mustafa Kemal University, Hatay, Turkey.

Keywords

Adult Alanine Transaminase Algorithms Aspartate Aminotransferases Female Hepacivirus Hepatitis C Hepatitis C Antibodies Humans Machine Learning Male Middle Aged Predictive Value of Tests Retrospective Studies RNA, Viral Serum Albumin Viremia

External Resources

View on PubMed Access via DOI PubMed (38705815)

A potential new way to facilitate HCV elimination: The prediction of viremia in anti-HCV seropositive patients using machine learning algorithms.

Abstract

Authors

Keywords

External Resources

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