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Machine learning with in silico analysis markedly improves survival prediction modeling in colon cancer patients

7 Nov 2022

Abstract excerpt

BACKGROUND: Predicting the survival of cancer patients provides prognostic information and therapeutic guidance. However, improved prediction models are needed for use in diagnosis and treatment. OBJECTIVE: This study aimed to identify genomic prognostic biomarkers related to colon cancer (CC) based on computational data and to develop survival prediction models. METHODS: We performed machine-learning (ML)...

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PMID: 36345155
DOI: 10.1002/cam4.5420

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