pyPheWAS Explorer: a visualization tool for exploratory analysis of phenome-disease associations.

Kerley, Cailey I; Nguyen, Tin Q; Ramadass, Karthik; Cutting, Laurie E; Landman, Bennett A; Berger, Matthew

Kerley, Cailey I; Nguyen, Tin Q; Ramadass, Karthik; Cutting, Laurie E; Landman, Bennett A; Berger, Matthew.

Afiliación

Kerley CI; Department of Electrical & Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.
Nguyen TQ; Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Ramadass K; Department of Special Education, Peabody College of Education and Human Development, Nashville, Tennessee, USA.
Cutting LE; Department of Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Landman BA; Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Berger M; Department of Special Education, Peabody College of Education and Human Development, Nashville, Tennessee, USA.

JAMIA Open ; 6(1): ooad018, 2023 Apr.

Article en En | MEDLINE | ID: mdl-37021295

Palabras clave

ICD codes; PheWAS; electronic health records; interactive visualization

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JAMIA Open Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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