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Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer
Mohamed Hosny Osman, Reham Hosny Mohamed, Hossam Mohamed Sarhan, Eun Jung Park, Seung Hyuk Baik, Kang Young Lee, Jeonghyun Kang
Cancer Research and Treatment. 2022;54(2):517-524.   Published online 2021 June 15    DOI: https://doi.org/10.4143/crt.2021.206

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Machine Learning Model for Predicting Postoperative Survival of Patients with Colorectal Cancer
Cancer Research and Treatment. 2022;54(2):517-524   Crossref logo
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Construction of a Prognostic Model for Predicting Overall Survival of Patients with Colorectal Cancer
. 2020;   Crossref logo
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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   Crossref logo
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Machine Learning With K-Means Dimensional Reduction for Predicting Survival Outcomes in Patients With Breast Cancer
Cancer Informatics. 2018;17:117693511881021   Crossref logo
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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):   Crossref logo
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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   Crossref logo
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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
. 2022;   Crossref logo
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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
. 2022;   Crossref logo
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Predicting survival in patients with colorectal cancer
BMJ. 2017;j2772   Crossref logo
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Prognostic Nomograms based on Homogeneous and Heterogeneous Associated Factors for Predicting the Overall Survival of Colorectal Cancer Patients with Distant Metastases
. 2021;   Crossref logo
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This metadata service is kindly provided by CrossRef from May 29, 2014. Cancer Res Treat has participated in CrossRef Text and Data Mining service since October 29, 2014.