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

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

PurposeThe 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.MethodMedical records of 35,639 patients with mCRC...

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Bibliographic Details
Main Authors: Yalong Zhang, Zunni Zhang, Liuxiang Wei, Shujing Wei
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Public Health
Subjects:
metastatic colorectal cancer
dynamic nomogram
novel machine learning
early death
SEER
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.1008137/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.1008137/full

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