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Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) scoring systems do not adequately predict mortality of patients undergoing continuous renal replacement therapy (CRRT) for seve...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Crit Care |
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| Κύριοι συγγραφείς: | , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7006166/ https://ncbi.nlm.nih.gov/pubmed/32028984 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13054-020-2752-7 |
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