Individual mortality risk predictive system of patients with acute-on-chronic liver failure based on a random survival forest model

BACKGROUND: The basis of individualized treatment should be individualized mortality risk predictive information. The present study aimed to develop an online individual mortality risk predictive tool for acute-on-chronic liver failure (ACLF) patients based on a random survival forest (RSF) algorith...

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Detalles Bibliográficos
Autores principales: Zhang, Zhi-Qiao, He, Gang, Luo, Zhao-Wen, Cheng, Can-Chang, Wang, Peng, Li, Jing, Zhu, Ming-Gu, Ming, Lang, He, Ting-Shan, Ouyang, Yan-Ling, Huang, Yi-Yan, Wu, Xing-Liu, Ye, Yi-Nong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318661/
https://www.ncbi.nlm.nih.gov/pubmed/34133353
http://dx.doi.org/10.1097/CM9.0000000000001539

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318661/
https://www.ncbi.nlm.nih.gov/pubmed/34133353
http://dx.doi.org/10.1097/CM9.0000000000001539

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