Opal: an implementation science tool for machine learning clinical decision support in anesthesia

Opal is the first published example of a full-stack platform infrastructure for an implementation science designed for ML in anesthesia that solves the problem of leveraging ML for clinical decision support. Users interact with a secure online Opal web application to select a desired operating room...

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Detalles Bibliográficos
Autores principales: Bishara, Andrew, Wong, Andrew, Wang, Linshanshan, Chopra, Manu, Fan, Wudi, Lin, Alan, Fong, Nicholas, Palacharla, Aditya, Spinner, Jon, Armstrong, Rachelle, Pletcher, Mark J., Lituiev, Dmytro, Hadley, Dexter, Butte, Atul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275816/
https://www.ncbi.nlm.nih.gov/pubmed/34837585
http://dx.doi.org/10.1007/s10877-021-00774-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9275816/
https://www.ncbi.nlm.nih.gov/pubmed/34837585
http://dx.doi.org/10.1007/s10877-021-00774-1

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