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Automated Extraction of Diagnostic Criteria From Electronic Health Records for Autism Spectrum Disorders: Development, Evaluation, and Application

Automated Extraction of Diagnostic Criteria From Electronic Health Records for Autism Spectrum Disorders: Development, Evaluation, and Application

We first describe the development and evaluation of the parser, including important decisions on using off-the-shelf tools and machine learning algorithms. Then, we present a case study where we applied our parser to almost 5000 EHRs to demonstrate usefulness for detailed analysis over time. Our parser uses human-interpretable rules to match complex patterns that represent the DSM diagnostic criteria.

Gondy Leroy, Yang Gu, Sydney Pettygrove, Maureen K Galindo, Ananyaa Arora, Margaret Kurzius-Spencer

J Med Internet Res 2018;20(11):e10497