Machine learning prediction model for post- hepatectomy liver failure in hepatocellular carcinoma: A multicenter study

INTRODUCTION: Post-hepatectomy liver failure (PHLF) is one of the most serious complications and causes of death in patients with hepatocellular carcinoma (HCC) after hepatectomy. This study aimed to develop a novel machine learning (ML) model based on the light gradient boosting machines (LightGBM)...

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Detalles Bibliográficos
Autores principales: Wang, Jitao, Zheng, Tianlei, Liao, Yong, Geng, Shi, Li, Jinlong, Zhang, Zhanguo, Shang, Dong, Liu, Chengyu, Yu, Peng, Huang, Yifei, Liu, Chuan, Liu, Yanna, Liu, Shanghao, Wang, Mingguang, Liu, Dengxiang, Miao, Hongrui, Li, Shuang, Zhang, Biao, Huang, Anliang, Zhang, Yewei, Qi, Xiaolong, Chen, Shubo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667038/
https://www.ncbi.nlm.nih.gov/pubmed/36408144
http://dx.doi.org/10.3389/fonc.2022.986867

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667038/
https://www.ncbi.nlm.nih.gov/pubmed/36408144
http://dx.doi.org/10.3389/fonc.2022.986867

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