Validation of an Automatic Tagging System for Identifying Respiratory and Hemodynamic Deterioration Events in the Intensive Care Unit

OBJECTIVES: Predictive models for critical events in the intensive care unit (ICU) might help providers anticipate patient deterioration. At the heart of predictive model development lies the ability to accurately label significant events, thereby facilitating the use of machine learning and similar...

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Detalles Bibliográficos
Autores principales: Jeddah, Danielle, Chen, Ofer, Lipsky, Ari M., Forgacs, Andrea, Celniker, Gershon, Lilly, Craig M., Pessach, Itai M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369051/
https://www.ncbi.nlm.nih.gov/pubmed/34384206
http://dx.doi.org/10.4258/hir.2021.27.3.241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369051/
https://www.ncbi.nlm.nih.gov/pubmed/34384206
http://dx.doi.org/10.4258/hir.2021.27.3.241

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