A Prediction Model for Tumor Recurrence in Stage II–III Colorectal Cancer Patients: From a Machine Learning Model to Genomic Profiling

A Prediction Model for Tumor Recurrence in Stage II–III Colorectal Cancer Patients: From a Machine Learning Model to Genomic Profiling

Background: Colorectal cancer (CRC) is one of the most prevalent malignant diseases worldwide. Risk prediction for tumor recurrence is important for making effective treatment decisions and for the survival outcomes of patients with CRC after surgery. Herein, we aimed to explore a prediction algorit...

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Bibliographic Details
Main Authors: Po-Chuan Chen, Yu-Min Yeh, Bo-Wen Lin, Ren-Hao Chan, Pei-Fang Su, Yi-Chia Liu, Chung-Ta Lee, Shang-Hung Chen, Peng-Chan Lin
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Biomedicines
Subjects:
machine learning model
colorectal cancer
cancer recurrence
age
lymph node ratio
Online Access:https://www.mdpi.com/2227-9059/10/2/340

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https://www.mdpi.com/2227-9059/10/2/340

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