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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
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 |
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