Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study

BACKGROUND: Machine learning (ML) has been gradually integrated into oncologic research but seldom applied to predict cervical cancer (CC), and no model has been reported to predict survival and site-specific recurrence simultaneously. Thus, we aimed to develop ML models to predict survival and site...

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Detalles Bibliográficos
Autores principales: Guo, Chenyan, Wang, Jue, Wang, Yongming, Qu, Xinyu, Shi, Zhiwen, Meng, Yan, Qiu, Junjun, Hua, Keqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907920/
https://www.ncbi.nlm.nih.gov/pubmed/33618238
http://dx.doi.org/10.1016/j.tranon.2021.101032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907920/
https://www.ncbi.nlm.nih.gov/pubmed/33618238
http://dx.doi.org/10.1016/j.tranon.2021.101032

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