Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach.
Background. Bedside monitors in intensive care units (ICUs) routinely measure and collect patients' physiologic data in real time in order to continuously assess the health status of critically ill patients. With the advent of increased computational power and the ability to store and rapidly proces...
| Publicado en: | Respiratory Care Vol. 65; no. 9; pp. 1367 - 1378 |
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| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
Sep2020
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| Acceso en línea: | Ver este registro en EBSCOhost |