Article

Identification of an ANCA-Associated Vasculitis Cohort Using Deep Learning and Electronic Health Records

2024-06-10

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases. <h4>Methods</h4> We examined the Mass General Brigham (MGB) repository of cl...

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Literature Corpus work: 60287d9b-445b-57c4-85ef-705cf62558ec
DOI: 10.1101/2024.06.09.24308603

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