Comparison and development of machine learning tools in the prediction of chronic kidney disease progression
Abstract Background Urinary protein quantification is critical for assessing the severity of chronic kidney disease (CKD). However, the current procedure for determining the severity of CKD is completed through evaluating 24-h urinary protein, which is inconvenient during follow-up. Objective To qui...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-04-01
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| Series: | Journal of Translational Medicine |
| Online Access: | http://link.springer.com/article/10.1186/s12967-019-1860-0 |