Electronic medical record phenotyping using the anchor and learn framework

Article English OPEN
Halpern, Yoni; Horng, Steven; Choi, Youngduck; Sontag, David;
(2016)
  • Publisher: Oxford University Press
  • Journal: Journal of the American Medical Informatics Association : JAMIA,volume 23,issue 4,pages731-740 (issn: 1067-5027, eissn: 1527-974X)
  • Publisher copyright policies & self-archiving
  • Related identifiers: pmc: PMC4926745, doi: 10.1093/jamia/ocw011
  • Subject: Precision Medicine Informatics | natural language processing | knowledge representation | electronic health records | machine learning | clinical decision support systems

Background Electronic medical records (EMRs) hold a tremendous amount of information about patients that is relevant to determining the optimal approach to patient care. As medicine becomes increasingly precise, a patient’s electronic medical record phenotype will play ... View more
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