Predicting Colorectal Cancer Survival Using Time-to-Event Machine Learning: Retrospective Cohort Study

BACKGROUND: Machine learning (ML) methods have shown great potential in predicting colorectal cancer (CRC) survival. However, the ML models introduced thus far have mainly focused on binary outcomes and have not considered the time-to-event nature of this type of modeling. OBJECTIVE: This study aims...

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Detalles Bibliográficos
Autores principales: Yang, Xulin, Qiu, Hang, Wang, Liya, Wang, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636616/
https://www.ncbi.nlm.nih.gov/pubmed/37883174
http://dx.doi.org/10.2196/44417

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636616/
https://www.ncbi.nlm.nih.gov/pubmed/37883174
http://dx.doi.org/10.2196/44417

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