Development, deployment, and continuous monitoring of a machine learning model to predict respiratory failure in critically ill patients
Objectives This study describes the development and deployment of a machine learning (ML) model called Vent.io to predict mechanical ventilation (MV). Materials and Methods We trained Vent.io using electronic health record data of adult patients admitted to the intensive care units (ICUs) of the Uni...
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Veröffentlicht in: | JAMIA open 2024-12, Vol.7 (4), p.ooae141 |
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Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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