Article

sureLDA: A Multi-Disease Automated Phenotyping Method for the Electronic Health Record

2020-04-14

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> A major bottleneck hindering utilization of electronic health record (EHR) data for translational research is the lack of precise phenotype labels. Chart review as well as rule-based and supervised phenotyping approaches require laborious expert input, hampering applicability to studies that require many phenotypes to be defined and labeled de novo . Though ICD codes are oft...

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Literature Corpus work: d0c7f1a8-a709-50ee-bc5c-dd5778ca9609
DOI: 10.1101/2020.04.13.038968

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