Early prediction of hemodynamic interventions in the intensive care unit using machine learning

BACKGROUND: Timely recognition of hemodynamic instability in critically ill patients enables increased vigilance and early treatment opportunities. We develop the Hemodynamic Stability Index (HSI), which highlights situational awareness of possible hemodynamic instability occurring at the bedside an...

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Detalles Bibliográficos
Autores principales: Rahman, Asif, Chang, Yale, Dong, Junzi, Conroy, Bryan, Natarajan, Annamalai, Kinoshita, Takahiro, Vicario, Francesco, Frassica, Joseph, Xu-Wilson, Minnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590869/
https://www.ncbi.nlm.nih.gov/pubmed/34775971
http://dx.doi.org/10.1186/s13054-021-03808-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590869/
https://www.ncbi.nlm.nih.gov/pubmed/34775971
http://dx.doi.org/10.1186/s13054-021-03808-x

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