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Article

Identifying developmental stuttering and associated comorbidities in electronic health records and creating a phenome risk classifier.

Journal of fluency disorders - 1 Jun 2021

Pruett Dillon G, Shaw Douglas M, Chen Hung-Hsin, Petty Lauren E, Polikowsky Hannah G, Kraft Shelly Jo, Jones Robin M, Below Jennifer E

Abstract excerpt

PURPOSE: This study aimed to identify cases of developmental stuttering and associated comorbidities in de-identified electronic health records (EHRs) at Vanderbilt University Medical Center, and, in turn, build and test a stuttering prediction model. METHODS: A multi-step process including a keyword search of medical notes, a text-mining algorithm, and manual review was employed to identify stuttering cases in...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 33894541
DOI: 10.1016/j.jfludis.2021.105847
PMCID: PMC8188400

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