The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients

The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients

Although methods in diagnosis and therapy of hepatocellular carcinoma (HCC) have made significant progress in the past decades, the overall survival (OS) of liver cancer is still disappointing. Machine learning models have several advantages over traditional cox models in prognostic prediction. This...

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Bibliografiska uppgifter
Huvudupphovsmän: Xiaoying Lou, Shaohui Ma, Mingyuan Ma, Yue Wu, Chengmei Xuan, Yan Sun, Yue Liang, Zongdan Wang, Hongjun Gao
Materialtyp: Artikel
Språk:English
Publicerad: Frontiers Media S.A. 2024-07-01
Serie:Frontiers in Medicine
Ämnen:
hepatocellular carcinoma (HCC)
overall survival (OS)
OS-related clinical characteristic (OCC) panel
progression-free survival (PFS)
random survival forests (RSF)
Länkar:https://www.frontiersin.org/articles/10.3389/fmed.2024.1431578/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2024.1431578/full

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