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Application of machine learning in hepatocellular carcinoma

Year: 2025

Type: article

Abstract: Hepatocellular carcinoma (HCC) is a common solid tumor. In recent years, although significant researches have been focused on diagnostic and therapeutic strategies for HCC, the overall prognosis for patients remains challenging. Machine learning (ML) , as a core technology of artificial intelligence, has been increasingly applied in the field of tumor research. Compared to traditional regression models, ML models excel at handling high dimensional data and complex nonlinear relationships, making it an ideal tool for HCC research. This review summarizes the application of ML in the risk prediction, diagnosis, treatment selection, and prognosis evaluation of HCC, aiming to provide references and insights for clinical practice and future research.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

DOI: 10.13429/j.cnki.cjcr.2025.05.005

Authors: NIU Riyu, WANG Xin, LIU Dingjing, LI Chengzhong

Institutions: Second Military Medical University, Changhai Hospital, Huai'an Hospital of Huai'an City

Language: English

Topic: Hepatocellular Carcinoma Treatment and Prognosis

Subfield: Hepatology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W6941997388

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