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
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A multi-omics machine learning framework in predicting the survival of colorectal cancer patients
Computers in Biology and Medicine. 2022;146:105516
Overall and Disease-Free Survival Prediction of Postoperative Breast Cancer Patients using Machine Learning Techniques
2019 22nd International Multitopic Conference (INMIC). 2019;
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
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Correction to: Predicting pathologic complete response in locally advanced rectal cancer patients after neoadjuvant therapy: a machine learning model using XGBoost
International Journal of Colorectal Disease. 2022;37(8):1919-1919
MON-PP001: C-Reactive Protein to Albumin Ratio is Useful for Predicting Postoperative Survival of Patients Undergoing Colorectal Cancer Surgery
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Prognostic Prediction Models for Postoperative Patients with Stage I to III Colorectal Cancer: A Retrospective Study Based on Machine Learning Methods
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Prognostic Prediction Models for Postoperative Patients with Stage I to III Colorectal Cancer: A Retrospective Study Based on Machine Learning Methods
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