开启未来：机器学习揭示早期肝细胞癌的预后。

IF 14 1区医学 Q1 GASTROENTEROLOGY & HEPATOLOGY

Clinical and Molecular Hepatology Pub Date : 2024-10-01 Epub Date: 2024-05-07 DOI:10.3350/cmh.2024.0327

Junlong Dai, Jimmy Che-To Lai, Grace Lai-Hung Wong, Terry Cheuk-Fung Yip

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Unlocking the future: Machine learning sheds light on prognostication for early-stage hepatocellular carcinoma: Editorial on "Conventional and machine learning-based risk scores for patients with early-stage hepatocellular carcinoma".

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来源期刊

Clinical and Molecular Hepatology Medicine-Hepatology

CiteScore

15.60

自引率

9.00%

发文量

审稿时长

10 weeks

期刊介绍： Clinical and Molecular Hepatology is an internationally recognized, peer-reviewed, open-access journal published quarterly in English. Its mission is to disseminate cutting-edge knowledge, trends, and insights into hepatobiliary diseases, fostering an inclusive academic platform for robust debate and discussion among clinical practitioners, translational researchers, and basic scientists. With a multidisciplinary approach, the journal strives to enhance public health, particularly in the resource-limited Asia-Pacific region, which faces significant challenges such as high prevalence of B viral infection and hepatocellular carcinoma. Furthermore, Clinical and Molecular Hepatology prioritizes epidemiological studies of hepatobiliary diseases across diverse regions including East Asia, North Asia, Southeast Asia, Central Asia, South Asia, Southwest Asia, Pacific, Africa, Central Europe, Eastern Europe, Central America, and South America. The journal publishes a wide range of content, including original research papers, meta-analyses, letters to the editor, case reports, reviews, guidelines, editorials, and liver images and pathology, encompassing all facets of hepatology.