Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements
Chronic kidney disease (CKD) is a global health concern with early detection playing a pivotal role in effective management. Machine learning models demonstrate promise in CKD detection, yet the impact on detection and classification using different sets of clinical features remains under-explored....
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Nature Research
2025
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