Table 3 IV scores between Features and target in Dataset A.

From: Early prediction of postpartum dyslipidemia in gestational diabetes using machine learning models

Features

IV Score

Features

IV Score

Feature2

0.825

Thrombin time

0.130

Feature1

0.775

Gamma-glutamyltransferase

0.125

Feature3

0.752

Neutrophils

0.121

Total cholesterol

0.625

Total bile acid

0.121

Triglycerides glucose index

0.502

Total bilirubin

0.120

Triglycerides

0.464

Alanine aminotransferase

0.118

Free thyroxine

0.244

Urea/creatinine

0.117

Free triiodothyronine

0.235

ALT/AST

0.116

Partial thromboplastin time

0.221

Urea

0.115

Uric acid

0.211

Fasting blood glucose

0.114

Pre-pregnancy BMI

0.209

Thyrotropin

0.113

Total protein

0.201

Maternal age

0.113

Platelet count

0.194

Erythrocyte count

0.109

Cholinesterases

0.191

Placental weight

0.107

Birth weight

0.165

Creatinine

0.093

Lymphocytes

0.165

Aspartate Aminotransferase

0.091

Neutrophils/platelet

0.156

Albumins

0.091

Alkaline phosphatase

0.146

Fibrinogen

0.082

Hematocrit

0.144

Hemoglobins

0.063

Leukocyte count

0.144

Monocytes

0.060

Platelet/lymphocytes

0.141

Gestation

0.049

Gestational weight gain

0.138

Parity

0.045

Direct bilirubin

0.131