Development and Assessment of an Interpretable Machine Learning Triage Tool for Estimating Mortality After Emergency Admissions

IMPORTANCE: Triage in the emergency department (ED) is a complex clinical judgment based on the tacit understanding of the patient’s likelihood of survival, availability of medical resources, and local practices. Although a scoring tool could be valuable in risk stratification, currently available s...

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Detalles Bibliográficos
Autores principales: Xie, Feng, Ong, Marcus Eng Hock, Liew, Johannes Nathaniel Min Hui, Tan, Kenneth Boon Kiat, Ho, Andrew Fu Wah, Nadarajan, Gayathri Devi, Low, Lian Leng, Kwan, Yu Heng, Goldstein, Benjamin Alan, Matchar, David Bruce, Chakraborty, Bibhas, Liu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397930/
https://www.ncbi.nlm.nih.gov/pubmed/34448870
http://dx.doi.org/10.1001/jamanetworkopen.2021.18467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397930/
https://www.ncbi.nlm.nih.gov/pubmed/34448870
http://dx.doi.org/10.1001/jamanetworkopen.2021.18467

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