Article

Multi-ancestry Genome- and Phenome-wide Association Studies of Diverticular Disease in Electronic Health Records with Natural Language Processing enriched phenotype algorithm

2020-06-09

Abstract excerpt

<h4>Background and aims</h4> Diverticular disease is among the most prevalent conditions encountered by gastroenterologists, affecting ∼50% of Americans before the age of 60. Our aim was to identify genetic risk variants and clinical phenotypes associated with diverticular disease, utilizing the electronic health record (EHR) with Natural Language Processing (NLP). <h4>Methods</h4> We developed a NLP-enriched ph...

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Literature Corpus work: 52735b95-57ee-59fe-9446-bf4c1ec07d39
DOI: 10.1101/2020.06.08.138735

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