Construction and validation of machine learning models for predicting distant metastases in newly diagnosed colorectal cancer patients: A large‐scale and real‐world cohort study
Ran Wei,
Guanhua Yu,
Xishan Wang
et al.
Abstract:BackgroundMore accurate prediction of distant metastases (DM) in patients with colorectal cancer (CRC) would optimize individualized treatment and follow‐up strategies. Multiple prediction models based on machine learning have been developed to assess the likelihood of developing DM.MethodsClinicopathological features of patients with CRC were obtained from the National Cancer Center (NCC, China) and the Surveillance, Epidemiology, and End Results (SEER) database. The algorithms used to create the prediction m… Show more
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