Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.

Samad, Manar D; Ulloa, Alvaro; Wehner, Gregory J; Jing, Linyuan; Hartzel, Dustin; Good, Christopher W; Williams, Brent A; Haggerty, Christopher M; Fornwalt, Brandon K

Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.

Samad, Manar D; Ulloa, Alvaro; Wehner, Gregory J; Jing, Linyuan; Hartzel, Dustin; Good, Christopher W; Williams, Brent A; Haggerty, Christopher M; Fornwalt, Brandon K.

Afiliación

Samad MD; Department of Imaging Science and Innovation, Geisinger, Danville, Pennsylvania.
Ulloa A; Department of Imaging Science and Innovation, Geisinger, Danville, Pennsylvania.
Wehner GJ; Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky.
Jing L; Department of Imaging Science and Innovation, Geisinger, Danville, Pennsylvania.
Hartzel D; Department of Imaging Science and Innovation, Geisinger, Danville, Pennsylvania.
Good CW; Department of Cardiology, Geisinger, Danville, Pennsylvania.
Williams BA; Department of Epidemiology and Health Services Research, Geisinger, Danville, Pennsylvania.
Haggerty CM; Department of Imaging Science and Innovation, Geisinger, Danville, Pennsylvania.
Fornwalt BK; Department of Imaging Science and Innovation, Geisinger, Danville, Pennsylvania; Department of Biomedical Engineering, University of Kentucky, Lexington, Kentucky; Department of Radiology, Geisinger, Danville, Pennsylvania. Electronic address: bkf@gatech.edu.

JACC Cardiovasc Imaging ; 12(4): 681-689, 2019 04.

Article en En | MEDLINE | ID: mdl-29909114

Asunto(s)

Minería de Datos/métodos; Bases de Datos Factuales; Ecocardiografía; Registros Electrónicos de Salud; Cardiopatías/diagnóstico por imagen; Aprendizaje Automático; Cardiopatías/mortalidad; Humanos; Valor Predictivo de las Pruebas; Pronóstico; Reproducibilidad de los Resultados; Estudios Retrospectivos; Medición de Riesgo; Factores de Riesgo; Factores de Tiempo

Palabras clave

echocardiography; electronic health records; machine learning; mortality

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecocardiografía / Bases de Datos Factuales / Registros Electrónicos de Salud / Minería de Datos / Aprendizaje Automático / Cardiopatías Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: JACC Cardiovasc Imaging Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

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