Construction and validation of nomograms combined with novel machine learning algorithms to predict early death of patients with metastatic colorectal cancer

PURPOSE: The purpose of this study was to investigate the clinical and non-clinical characteristics that may affect the early death rate of patients with metastatic colorectal carcinoma (mCRC) and develop accurate prognostic predictive models for mCRC. METHOD: Medical records of 35,639 patients with...

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Detalles Bibliográficos
Autores principales: Zhang, Yalong, Zhang, Zunni, Wei, Liuxiang, Wei, Shujing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810140/
https://www.ncbi.nlm.nih.gov/pubmed/36605237
http://dx.doi.org/10.3389/fpubh.2022.1008137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810140/
https://www.ncbi.nlm.nih.gov/pubmed/36605237
http://dx.doi.org/10.3389/fpubh.2022.1008137

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