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Using Machine Learning to Construct Nomograms for Patients with Metastatic Colon Cancer
Beiqun Zhao, Rodney A. Gabriel, Florin Vaida, Samuel Eisenstein, Gabriel T. Schnickel, Jason K. Sicklick, Bryan M. Clary
Colorectal Dis. Author manuscript; available in PMC 2022 Jan 3.
Published in final edited form as: Colorectal Dis. 2020 Aug; 22(8): 914–922. Published online 2020 Feb 16. doi: 10.1111/codi.14991
PMCID:
PMC8722819
Abstract Article PDF–574K

Is Cited by the Following 4 Articles in this Archive:

Significance of platelet adhesion-related genes in colon cancer based on non-negative matrix factorization-based clustering algorithm
Xiao-jv Chi, Yi-bei Song, Deng-he Liu, Li-qiang Wei, Xin An, Zi-zhen Feng, Xiao-hua Lan, Dong Lan, Chao Huang
Digit Health. 2023 Jan-Dec; 9: 20552076231203902. Published online 2023 Sep 26. doi: 10.1177/20552076231203902
PMCID:
PMC10521306
Abstract Article PDF–4.3M
Estimating Risk of Locoregional Failure and Overall Survival in Anal Cancer Following Chemoradiation: A Machine Learning Approach
Kevin A Chen, Paolo Goffredo, David Hu, Chinmaya U Joisa, Jose G Guillem, Shawn M Gomez, Muneera R Kapadia
J Gastrointest Surg. Author manuscript; available in PMC 2023 Sep 27.
Published in final edited form as: J Gastrointest Surg. 2023 Sep; 27(9): 1925–1935. Published online 2023 Jul 5. doi: 10.1007/s11605-023-05755-0
PMCID:
PMC10528925
Abstract Article PDF–881K
A Bayesian network predicting survival of cervical cancer patients—Based on surveillance, epidemiology, and end results
Guangcong Liu, Zhuo Yang, Danbo Wang
Cancer Sci. 2023 Mar; 114(3): 1131–1141. Published online 2022 Dec 23. doi: 10.1111/cas.15624
PMCID:
PMC9986069
Abstract Article PDF–6.3M
Nomogram to Predict the Overall Survival of Colorectal Cancer Patients: A Multicenter National Study
Nasrin Borumandnia, Hassan Doosti, Amirhossein Jalali, Soheila Khodakarim, Jamshid Yazdani Charati, Mohamad Amin Pourhoseingholi, Atefeh Talebi, Shahram Agah
Int J Environ Res Public Health. 2021 Aug; 18(15): 7734. Published online 2021 Jul 21. doi: 10.3390/ijerph18157734
PMCID:
PMC8345484
Abstract Article PDF–1.2M