Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation

BACKGROUND: There is a growing demand globally for emergency department (ED) services. An increase in ED visits has resulted in overcrowding and longer waiting times. The triage process plays a crucial role in assessing and stratifying patients’ risks and ensuring that the critically ill promptly re...

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Detalles Bibliográficos
Autores principales: Liu, Nan, Xie, Feng, Siddiqui, Fahad Javaid, Ho, Andrew Fu Wah, Chakraborty, Bibhas, Nadarajan, Gayathri Devi, Tan, Kenneth Boon Kiat, Ong, Marcus Eng Hock
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492092/
https://www.ncbi.nlm.nih.gov/pubmed/35333179
http://dx.doi.org/10.2196/34201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9492092/
https://www.ncbi.nlm.nih.gov/pubmed/35333179
http://dx.doi.org/10.2196/34201

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