Comparison Between Cox Proportional Hazards and Machine Learning Models for the Prognostication of Recurrence and Survival Following Liver Resection for Hepatocellular Carcinoma.

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Bibliographic Details
Title: Comparison Between Cox Proportional Hazards and Machine Learning Models for the Prognostication of Recurrence and Survival Following Liver Resection for Hepatocellular Carcinoma.
Authors: Tan HL; Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Center, Singapore, Singapore., Liauw CYT; Department of Data Science, Singapore General Hospital, Singapore, Singapore., Chua TL; Department of Data Science, Singapore General Hospital, Singapore, Singapore., Lam AYR; Department of Data Science, Singapore General Hospital, Singapore, Singapore.; Department of Endocrinology, Singapore General Hospital, Singapore, Singapore., Chan C; Department of Data Science, Singapore General Hospital, Singapore, Singapore.; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA., Koh YX; Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Center, Singapore, Singapore., Teo JY; Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Center, Singapore, Singapore., Cheow PC; Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Center, Singapore, Singapore., Chung AYF; Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Center, Singapore, Singapore., Goh BKP; Department of Hepatopancreatobiliary and Transplant Surgery, Singapore General Hospital and National Cancer Center, Singapore, Singapore.
Source: Journal of hepato-biliary-pancreatic sciences [J Hepatobiliary Pancreat Sci] 2025 Oct; Vol. 32 (10), pp. 745-755. Date of Electronic Publication: 2025 Jul 20.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Wiley Japan Country of Publication: Japan NLM ID: 101528587 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1868-6982 (Electronic) Linking ISSN: 18686974 NLM ISO Abbreviation: J Hepatobiliary Pancreat Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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