From: Machine learning based study for the classification of Type 2 diabetes mellitus subtypes
Attribute | Description |
---|---|
Age | Patient age in years |
Gender | Patient gender |
Ethnicity | Patient ethicity (Mex-Amer, hispanic, white, black, other) |
Diabetes | Diabetes status (NA, diabetic, non-diabetic, borderline, gestational, etc.) |
ADO | Age at Diabetes Onset in years |
BMI | Body Mass Index (kg/m\(^2\)) |
Height | Height in cm |
Weight | Weight in kg |
Waist | Waist circumference in cm |
HbA1C | Glycated Haemoglobin as percentage |
Glucose1 (FPG) | Fasting plasma glucose in mmol/L |
Insulin | Fasting plasma insulin in pmol/L |
C-peptide | Fasting plasma C-peptide in nmol/L |
Glucose2 (OGTT-PG) | Plasma glucose after Oral Glucose Tolerance Test (OGTT) in mmol/L |
HDLC | High-Density Lipoprotein Cholesterol in mmol/L |
Triglyceride | Triglyceride in mmol/L |