Random Survival Forests to Predict Disease Control for Hepatocellular Carcinoma Treated With Transarterial Chemoembolization Combined With Sorafenib

Objectives: To use baseline variables to predict one-year disease control for patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE) combined with sorafenib as initial treatment by applying a machine learning approach based on the random survival forest (RF)...

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Detalles Bibliográficos
Autores principales: Zhong, Bin-Yan, Yan, Zhi-Ping, Sun, Jun-Hui, Zhang, Lei, Hou, Zhong-Heng, Zhu, Xiao-Li, Wen, Ling, Ni, Cai-Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173079/
https://www.ncbi.nlm.nih.gov/pubmed/34095216
http://dx.doi.org/10.3389/fmolb.2021.618050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173079/
https://www.ncbi.nlm.nih.gov/pubmed/34095216
http://dx.doi.org/10.3389/fmolb.2021.618050

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