Fig. 2From: Machine learning-based prediction models for accidental hypothermia patientsThe features of the models. Beta coefficients value in lasso and importance of variables in random forest and gradient boosting tree were shown. ADL: activity of daily living, BT: body temperature, SBP: systolic blood pressure, GCS: Glasgow coma scale, WBC: white blood cell count, Hgb: hemoglobin, Hct: hematocrit, PLT: platelet count, BUN: blood urea nitrogen, TP: Total protein, Alb: serum albumin, T-bil: Total bilirubin, CK: creatine kinaseBack to article page