Machine learning based hepatic safety score predicts decompensation in hepatocellular carcinoma systemic therapy

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Publication Details

Journal
npj Digital Medicine
Published
2026-05-22
DOI
https://doi.org/10.1038/s41746-026-02802-3
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning based hepatic safety score predicts decompensation in hepatocellular carcinoma systemic therapy

Kwon Yong Tak, Pil Soo Sung, Soon Woo Nam, Soon Kyu Lee et al.
npj Digital Medicine
Hepatocellular Carcinoma Treatment and Prognosis
article

Machine learning based hepatic safety score predicts decompensation in hepatocellular carcinoma systemic therapy

Kwon Yong Tak, Pil Soo Sung, Soon Woo Nam, Soon Kyu Lee, Chang Wook Kim, Hae Lim Lee, Heechul Nam, Keungmo Yang, Si Hyun Bae, Hee Sun Cho, Ji Won Han, Hyun Yang, Seok Hwan Kim, Jeong Won Jang, Ahlim Lee, Sung Won Lee, Jaejun Lee, Do Seon Song, Hee Yeon Kim, Myeong Jun Song, Jung Hyun Kwon
article en

Abstract

No abstract available for this paper.
npj Digital Medicine
St. Mary's Hospital (US), The Catholic University of Korea St. Vincent's Hospital (KR), The Catholic University of Korea Incheon St. Mary's Hospital (KR), The Catholic University of Korea Uijeongbu St. Mary's Hospital (KR), St. Mary's Hospital (US), St Mary's Hospital (GB), The Catholic University of Korea Bucheon St. Mary's Hospital (KR), The Catholic University of Korea Seoul St. Mary's Hospital (KR), Catholic University of Korea (KR)
Korea Health Industry Development Institute
Good health and well-being
Openalex Percentile: Top 8%
Hepatocellular Carcinoma Treatment and Prognosis
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