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Table 1 Impact on predictive performance of exams on Model 3

From: Towards stroke prediction using electronic health records

Model Inputs AUC 95% CI
with everything 0.623 (0.614, 0.632)
w/o Cholesterol Exam (HDL-C, LDL-C, triglyceride) 0.618 (0.610, 0.627)
w/o Diabetes Exam (HbA1c JDS & NGSP, blood glucose) 0.608 (0.600, 0.617)
w/o Kidney Exam (creatinine) 0.624 (0.615, 0.632)
w/o Liver Exam (GGT, GOT, GPT) 0.615 (0.606, 0.623)
w/o Platelet count 0.607 (0.599, 0.616)
w/o ALP 0.616 (0.607, 0.625)
w/o Blood count (Hb, hematocrit, MCH, MCHC, MCV, RBC) 0.600 (0.591, 0.609)
w/o Uric acid 0.627 (0.618, 0.635)
w/o WBC 0.608 (0.600, 0.617)
  1. w/o = without