Observational Study
Copyright ©The Author(s) 2025.
World J Cardiol. Jul 26, 2025; 17(7): 101434
Published online Jul 26, 2025. doi: 10.4330/wjc.v17.i7.101434
Figure 2
Figure 2 Feature selection by two machine learning method. A: Feature selection by Boruta algorithm, the vertical axis represents the Z-value of each variable, boxes with green are important features; B: The plot of the association between the cross-validation error and the log-transformed penalty parameter (λ) in the least absolute shrinkage and selection operator regression analysis; C: The least absolute shrinkage and selection operator regression screening path for the variables based on the optimal log of lambda. PIR: Poverty-income ratio; HYPER: Hypertension; CHD: Coronary heart disease; HF: Heart failure; NHHR: Non-high-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio; BMI: Body mass index.