Table 2 Common variables screened by three methods.

From: Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention

Methods

Common variables

Logistic regression

Discharge outcomes, Mode of admission, Communication skills, CRP, TC, HDL, LDL

LASSO regression

random forest

  1. CRP: C reactive protein; TC: Total cholesterol; HDL: high density lipoprotein; LDL: low density lipoprotein.
Back to article page