Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study

BACKGROUND: Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an effort to better identify high-risk surgical patients...

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Detalles Bibliográficos
Autores principales: Corey, Kristin M., Kashyap, Sehj, Lorenzi, Elizabeth, Lagoo-Deenadayalan, Sandhya A., Heller, Katherine, Whalen, Krista, Balu, Suresh, Heflin, Mitchell T., McDonald, Shelley R., Swaminathan, Madhav, Sendak, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258507/
https://www.ncbi.nlm.nih.gov/pubmed/30481172
http://dx.doi.org/10.1371/journal.pmed.1002701

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258507/
https://www.ncbi.nlm.nih.gov/pubmed/30481172
http://dx.doi.org/10.1371/journal.pmed.1002701

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