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

biorxiv（2020）

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摘要

A systematic framework to process unstructured EHR data with NLP could advance a deep and scalable phenotyping for better patient identification and facilitate etiological investigation of a disease with multilayered data.

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关键词

Diverticular disease,diverticulosis,diverticulitis,genome-wide association studies (GWAS),Phenome-wide association studies (PheWAS),Electronic health records (EHR),Natural Language Processing (NLP)

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