Gene expression-based machine learning model for diagnosis, prognosis, and treatment response prediction in hepatocellular carcinoma: a retrospective study

Our gene expression-based machine learning model provides a robust tool for HCC diagnosis, prognosis, and treatment response prediction, with potential as a supportive system for personalized clinical decision-making.

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Publication Details

Journal
Journal of Yeungnam Medical Science
Published
2026-03-04
DOI
https://doi.org/10.12701/jyms.2026.43.21
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
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article

Gene expression-based machine learning model for diagnosis, prognosis, and treatment response prediction in hepatocellular carcinoma: a retrospective study

Phuong Thi Bui, Thanh Dat Nguyen, Mao Nguyen, Phu Qui Le Nguyen et al.
Journal of Yeungnam Medical Science
Hepatocellular Carcinoma Treatment and Prognosis
article

Gene expression-based machine learning model for diagnosis, prognosis, and treatment response prediction in hepatocellular carcinoma: a retrospective study

Phuong Thi Bui, Thanh Dat Nguyen, Mao Nguyen, Phu Qui Le Nguyen, Tan Thinh Nguyen
article en

Abstract

Our gene expression-based machine learning model provides a robust tool for HCC diagnosis, prognosis, and treatment response prediction, with potential as a supportive system for personalized clinical decision-making.

Journal of Yeungnam Medical ScienceVol. 43
Vietnam National University Ho Chi Minh City (VN), Ton Duc Thang University (VN), University of Medicine and Pharmacy at Ho Chi Minh City (VN)
Peace, Justice and strong institutions
Openalex Percentile: Top 35%
Hepatocellular Carcinoma Treatment and Prognosis
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