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sureLDA: A multidisease automated phenotyping method for the electronic health record

28 Apr 2020

Abstract excerpt

OBJECTIVE: A major bottleneck hindering utilization of electronic health record 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 International Classification of Diseases codes are...

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PMID: 32548637
DOI: 10.1093/jamia/ocaa079

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