Ontology highlight
ABSTRACT:
SUBMITTER: Murray SG
PROVIDER: S-EPMC6308013 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
Journal of the American Medical Informatics Association : JAMIA 20190101 1
Accurate and efficient identification of complex chronic conditions in the electronic health record (EHR) is an important but challenging task that has historically relied on tedious clinician review and oversimplification of the disease. Here we adapt methods that allow for automated "noisy labeling" of positive and negative controls to create a "silver standard" for machine learning to automate identification of systemic lupus erythematosus (SLE). Our final model, which includes both structure ...[more]