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-Reference-Cited by-同舟云学术

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

Published:2018-11-27 Issue:11 Volume:15 Page:e1002701
ISSN:1549-1676
Container-title:PLOS Medicine
language:en
Short-container-title:PLoS Med

Author:

Corey Kristin M.^ORCID,Kashyap Sehj,Lorenzi Elizabeth^ORCID,Lagoo-Deenadayalan Sandhya A.,Heller Katherine^ORCID,Whalen Krista,Balu Suresh^ORCID,Heflin Mitchell T.,McDonald Shelley R.^ORCID,Swaminathan Madhav^ORCID,Sendak Mark

Funder

Duke Institue for Health Innovation

Duke Forge

Health Resources and Services Administration

Duke Institute for Health Innovation

Publisher

Public Library of Science (PLoS)

Subject

General Medicine

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