Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison
BackgroundUric acid is associated with noncommunicable diseases such as cardiovascular diseases, chronic kidney disease, coronary artery disease, stroke, diabetes, metabolic syndrome, vascular dementia, and hypertension. Therefore, uric acid is considered to be a risk factor...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2020-10-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2020/10/e18331 |