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...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Taylor & Francis Group
2024-12-01
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| Σειρά: | Renal Failure |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.tandfonline.com/doi/10.1080/0886022X.2024.2420826 |
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