Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services

BACKGROUND: In emergency medical services (EMSs), accurately predicting the severity of a patient’s medical condition is important for the early identification of those who are vulnerable and at high-risk. In this study, we developed and validated an artificial intelligence (AI) algorithm based on d...

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Detalles Bibliográficos
Autores principales: Kang, Da-Young, Cho, Kyung-Jae, Kwon, Oyeon, Kwon, Joon-myoung, Jeon, Ki-Hyun, Park, Hyunho, Lee, Yeha, Park, Jinsik, Oh, Byung-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057604/
https://www.ncbi.nlm.nih.gov/pubmed/32131867
http://dx.doi.org/10.1186/s13049-020-0713-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057604/
https://www.ncbi.nlm.nih.gov/pubmed/32131867
http://dx.doi.org/10.1186/s13049-020-0713-4

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