Article

Finding Rare Disease Patients in EHR Databases via Lightly-Supervised Learning

2020-07-07

Abstract excerpt

There is considerable interest in developing computational models capable of detecting rare disease patients in population-scale databases such as electronic health records (EHRs). Deriving these models is challenging for several reasons, perhaps the most daunting being the limited number of already-diagnosed, ‘labeled’ patients from which to learn. We overcome this obstacle with a novel lightly-supervised algorit...

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Literature Corpus work: ffe8dce8-70ee-5098-bc80-00d8cd68c6df
DOI: 10.1101/2020.07.06.20147322

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