Table 1 Ranking of 18 features using MRMR algorithm
From: PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach
Rank | Variable Name | Variable Description |
|---|---|---|
1 | WHD010 | Height |
2 | RXDUSE | Taken prescription medicine, past month |
3 | MCQ160M | Thyroid history |
4 | RIDAGEYR | Age |
5 | OSQ080 | Doctor ever told any other fractures? |
6 | MCQ220 | Ever told you had cancer or malignancy |
7 | KIQ044 | Urinated before reaching the toilet |
8 | BPQ020 | High blood pressure |
9 | IMQ011 | Received Hepatitis A vaccine |
10 | RIAGENDR | Gender |
11 | DBQ229 | Regular milk use 5 times per week |
12 | CDQ001 | Discomfort in chest |
13 | LBXHA | Hepatitis A Antibody (Anti-HAV) |
14 | KIQ042 | Leak urine during physical activities |
15 | OSQ200 | Did father ever fracture hip? |
16 | SMQ878 | Smoking - Secondhand Smoke Exposure |
17 | OSQ130 | Taken prednisone or cortisone daily |
18 | BPQ090D | Told to take prescriptn for cholesterol |