Predicting Future Occurrence of Acute Hypotensive Episodes Using Noninvasive and Invasive Features.
Introduction: Early prediction of the acute hypotensive episode (AHE) in critically ill patients has the potential to improve outcomes. In this study, we apply different machine learning algorithms to the MIMIC III Physionet dataset, containing more than 60,000 real-world intensive care unit records...
| Publicado en: | Military Medicine Vol. 186; pp. 445 - 452 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
2021 Supplement
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| Acceso en línea: | Ver este registro en EBSCOhost |