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

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

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 keywor...

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Bibliographic Details
Main Authors: Below, J.E (Author), Chen, H.-H (Author), Jones, R.M (Author), Kraft, S.J (Author), Petty, L.E (Author), Polikowsky, H.G (Author), Pruett, D.G (Author), Shaw, D.M (Author)
Format: Article
Language:English
Published: Elsevier Inc. 2021
Subjects:
algorithm
Algorithms
Article
atopy
body weight
child
Child
comorbidity
Comorbidity
Developmental stuttering
electronic health record
Electronic health records
Electronic Health Records
feasibility study
fluency disorder
genetic susceptibility
hearing impairment
human
Humans
infection
Machine learning
neurologic disease
phenotype
Phenotype
predictive value
sleep disorder
stuttering
Stuttering
Stuttering comorbidities
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