Letter to the Editor: Comment on "Prediction of Survival Outcomes Based on Preoperative Clinical Parameters in Gastric Cancer"
Overview
Overview
Authors
Affiliations
Affiliations
Soon will be listed here.
References
1.
Shin H, Choi Y, Roh C, Son S, Hur H, Han S
. Prediction of Survival Outcomes Based on Preoperative Clinical Parameters in Gastric Cancer. Ann Surg Oncol. 2021; 28(12):7027-7037.
DOI: 10.1245/s10434-021-09754-w.
View
2.
Akcay M, Etiz D, Celik O
. Prediction of Survival and Recurrence Patterns by Machine Learning in Gastric Cancer Cases Undergoing Radiation Therapy and Chemotherapy. Adv Radiat Oncol. 2020; 5(6):1179-1187.
PMC: 7718548.
DOI: 10.1016/j.adro.2020.07.007.
View
3.
Alabi R, Makitie A, Pirinen M, Elmusrati M, Leivo I, Almangush A
. Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer. Int J Med Inform. 2020; 145:104313.
DOI: 10.1016/j.ijmedinf.2020.104313.
View
4.
Shariat S, Karakiewicz P, Suardi N, Kattan M
. Comparison of nomograms with other methods for predicting outcomes in prostate cancer: a critical analysis of the literature. Clin Cancer Res. 2008; 14(14):4400-7.
DOI: 10.1158/1078-0432.CCR-07-4713.
View
5.
Dreiseitl S, Harbauer A, Binder M, Kittler H
. Nomographic representation of logistic regression models: a case study using patient self-assessment data. J Biomed Inform. 2005; 38(5):389-94.
DOI: 10.1016/j.jbi.2005.02.006.
View