Table 4 Comparisons with the top 10 ranked features from other studies on osteoporosis prediction using machine learning.
From: Prediction of osteoporosis in patients with rheumatoid arthritis using machine learning
Ranking | Erjiang et al.21 | Park et al.19 | Bui et al.25 | Our study |
|---|---|---|---|---|
1 | Age | Age | Age | Body mass index |
2 | Weight | Menopause | Weight | Age |
3 | Bisphosphonate use | Alkaline phosphatase | Height | Menopause |
4 | Body mass index | Weight | Uric acid | Waist circumference |
5 | Denosumab use | Forced vital capacity | Calcium | Hip circumference |
6 | Estrogen use | Sobriety | Cholesterol | Surgery for RA |
7 | Chronic respiratory disease | Aspartate aminotransferase | Creatinine | Monthly income |
8 | Osteopenia | Diastolic blood pressure | Free thyroxine level | Age of diagnosis |
9 | Height loss | Riboflavin intake | Glucose | Health assessment questionnaire |
10 | Hormonal therapy | Weight control by exercise | HbA1c | Number of swollen joints |
