Monitoring significant ST changes through deep learning.

Xiao, Ran; Xu, Yuan; Pelter, Michele M; Fidler, Richard; Badilini, Fabio; Mortara, David W; Hu, Xiao

Xiao, Ran; Xu, Yuan; Pelter, Michele M; Fidler, Richard; Badilini, Fabio; Mortara, David W; Hu, Xiao.

Afiliación

Xiao R; Department of Physiological Nursing, University of California, San Francisco, CA, USA. Electronic address: ran.xiao@ucsf.edu.
Xu Y; Department of Physiological Nursing, University of California, San Francisco, CA, USA.
Pelter MM; Department of Physiological Nursing, University of California, San Francisco, CA, USA.
Fidler R; Department of Physiological Nursing, University of California, San Francisco, CA, USA.
Badilini F; Department of Physiological Nursing, University of California, San Francisco, CA, USA.
Mortara DW; Department of Physiological Nursing, University of California, San Francisco, CA, USA.
Hu X; Department of Physiological Nursing, University of California, San Francisco, CA, USA; Department of Neurological Surgery, University of California, San Francisco, CA, USA; Institute for Computational Health Sciences, University of California, San Francisco, CA, USA; Core Faculty, UCB/UCSF Graduate

J Electrocardiol ; 51(6S): S78-S82, 2018.

Article en En | MEDLINE | ID: mdl-30082087

Asunto(s)

Arritmias Cardíacas/diagnóstico; Arritmias Cardíacas/fisiopatología; Aprendizaje Profundo; Electrocardiografía Ambulatoria; Algoritmos; Alarmas Clínicas; Humanos; Medición de Riesgo; Sensibilidad y Especificidad

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Arritmias Cardíacas / Electrocardiografía Ambulatoria / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Etiology_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Electrocardiol Año: 2018 Tipo del documento: Article

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