Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients
Accurate risk stratification of critically ill patients with coronavirus disease 2019 (COVID-19) is essential for optimizing resource allocation, delivering targeted interventions, and maximizing patient survival probability. Machine learning (ML) techniques are attracting increased interest for the...
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| Published in: | Journal of intensive medicine Vol. 1; no. 2; pp. 110 - 116 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
China
Elsevier B.V
01.10.2021
Chinese Medical Association. Published by Elsevier B.V Elsevier |
| Subjects: | |
| ISSN: | 2667-100X, 2667-100X |
| Online Access: | Get full text |
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