Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer
Cancer Research and Treatment. 2022;54(2):517-524 
Construction of a Prognostic Model for Predicting Overall Survival of Patients with Colorectal Cancer
. 2020;
A multi-omics machine learning framework in predicting the survival of colorectal cancer patients
Computers in Biology and Medicine. 2022;146:105516
Machine Learning With K-Means Dimensional Reduction for Predicting Survival Outcomes in Patients With Breast Cancer
Cancer Informatics. 2018;17:117693511881021
Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system
BMC Bioinformatics. 2022;23(1):
MON-PP001: C-Reactive Protein to Albumin Ratio is Useful for Predicting Postoperative Survival of Patients Undergoing Colorectal Cancer Surgery
Clinical Nutrition. 2015;34:S127
Prognostic Prediction Models for Postoperative Patients with Stage I to III Colorectal Cancer: A Retrospective Study Based on Machine Learning Methods
. 2022;
Prognostic Prediction Models for Postoperative Patients with Stage I to III Colorectal Cancer: A Retrospective Study Based on Machine Learning Methods
. 2022;
Predicting survival in patients with colorectal cancer
BMJ. 2017;j2772
Prognostic Nomograms based on Homogeneous and Heterogeneous Associated Factors for Predicting the Overall Survival of Colorectal Cancer Patients with Distant Metastases
. 2021;