Prediction of dialysis adequacy using data-driven machine learning algorithms
Background Adequate delivery of hemodialysis (HD), measured by the spKt/V derived from urea reduction, is an important determinant of clinical outcomes in chronic hemodialysis patients. However, the need for pre- and postdialysis blood samples prevented the assessment of spKt/V in every session.Meth...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Taylor & Francis Group
2024-12-01
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| Serier: | Renal Failure |
| Fag: | |
| Online adgang: | https://www.tandfonline.com/doi/10.1080/0886022X.2024.2420826 |
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