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Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients
Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient’s well-being and for successful management of the condition. In this paper, we explore the possibilities of creating...
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| Yayımlandı: | PLoS One |
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| Asıl Yazarlar: | , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7274378/ https://ncbi.nlm.nih.gov/pubmed/32502209 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0233976 |
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