Copyright
©The Author(s) 2022.
World J Cardiol. Nov 26, 2022; 14(11): 565-575
Published online Nov 26, 2022. doi: 10.4330/wjc.v14.i11.565
Published online Nov 26, 2022. doi: 10.4330/wjc.v14.i11.565
Figure 1 Flowchart of the cohort selection.
BMI: Body mass index; CABG: Coronary artery bypass graft; ER: Emergency room.
Figure 2 Receiver operating characteristic curve.
A: The binomial regression (BR) model; B: The interval validation of the BR model; C: The random forest models with 25 trees and 50 trees; D: The internal validation of the random forest model; E: The XGBoost model; F: The internal validation of the XGBoost model. AUC: Area under the receiver operating characteristic curve.
- Citation: Shafiq M, Mazzotti DR, Gibson C. Risk stratification of patients who present with chest pain and have normal troponins using a machine learning model. World J Cardiol 2022; 14(11): 565-575
- URL: https://www.wjgnet.com/1949-8462/full/v14/i11/565.htm
- DOI: https://dx.doi.org/10.4330/wjc.v14.i11.565