Using machine learning for mortality prediction and risk stratification in atezolizumab‐treated cancer patients: Integrative analysis of eight clinical trials

BACKGROUND: Few models exist to predict mortality in cancer patients receiving immunotherapy. Our aim was to build a machine learning‐based risk stratification model for predicting mortality in atezolizumab‐treated cancer patients. METHODS: Data from 2538 patients in eight atezolizumab‐treated cance...

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Detalles Bibliográficos
Autores principales: Wu, Yougen, Zhu, Wenyu, Wang, Jing, Liu, Lvwen, Zhang, Wei, Wang, Yang, Shi, Jindong, Xia, Ju, Gu, Yuting, Qian, Qingqing, Hong, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939114/
https://www.ncbi.nlm.nih.gov/pubmed/35871390
http://dx.doi.org/10.1002/cam4.5060

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939114/
https://www.ncbi.nlm.nih.gov/pubmed/35871390
http://dx.doi.org/10.1002/cam4.5060

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