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Rethinking ACLF Prognosis: Can Machine Learning Outperform Conventional Scores? Editorial on: Predictive Machine Learning Model in ICU Patients with Acute-on-Chronic Liver Failure and Two or More Organ Failures.
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.