Table 3 The subset of features for the final model selected by mRMR and manual curation
From: Detection of diabetic patients in people with normal fasting glucose using machine learning
mRMR | Manual curation | Rank |
|---|---|---|
Fasting blood glucose (FBG) | Fasting blood glucose (FBG) | 1 |
Absolute lymphocyte count (ALC) | Age | 2 |
Age | Body mass index (BMI) | 3 |
Body mass index (BMI) | Absolute lymphocyte count (ALC) | 4 |
Eosinophil (EOS) | White blood cell count (WBC) | 5 |
Red cell distribution width (RDW) | Absolute monocyte count (AMC) | 6 |
Platelets (PLT) | Red cell distribution width (RDW) | 7 |
White blood cell count (WBC) | Absolute eosinophil count (AEC) | 8 |
Height | Mean corpuscular hemoglobin (MCH) | 9 |
Neutrophil (NEU) | Sex | 10 |
Basophil (BASO) | Height | 11 |
Mean corpuscular hemoglobin concentration (MCHC) | Neutrophil (NEU) | 12 |
Mean corpuscular volume (MCV) | Mean corpuscular volume (MCV) | 13 |