A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow

BACKGROUND: A growing body of research has shown that machine learning (ML) can be a useful tool to predict how different variable combinations affect out-of-hospital cardiac arrest (OHCA) survival outcomes. However, there remain significant research gaps on the utilization of ML models for decision...

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Detalles Bibliográficos
Autores principales: Harford, Samuel, Del Rios, Marina, Heinert, Sara, Weber, Joseph, Markul, Eddie, Tataris, Katie, Campbell, Teri, Vanden Hoek, Terry, Darabi, Houshang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787933/
https://www.ncbi.nlm.nih.gov/pubmed/35078470
http://dx.doi.org/10.1186/s12911-021-01730-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787933/
https://www.ncbi.nlm.nih.gov/pubmed/35078470
http://dx.doi.org/10.1186/s12911-021-01730-4

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