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Deep residual-dense network based on bidirectional recurrent neural network for atrial fibrillation detection.
Laghari, Asif Ali; Sun, Yanqiu; Alhussein, Musaed; Aurangzeb, Khursheed; Anwar, Muhammad Shahid; Rashid, Mamoon.
Afiliación
  • Laghari AA; Software College, Shenyang Normal University, Shenyang, 110034, China.
  • Sun Y; Liaoning University of Traditional Chinese Medicine, Shenyang, China. syq506@163.com.
  • Alhussein M; Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Kingdom of Saudi Arabia.
  • Aurangzeb K; Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Kingdom of Saudi Arabia.
  • Anwar MS; Department of AI and Software, Gachon University, Seongnam-si, 13120, South Korea.
  • Rashid M; Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, 411048, India.
Sci Rep ; 13(1): 15109, 2023 09 13.
Article en En | MEDLINE | ID: mdl-37704659
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial / Accidente Cerebrovascular Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial / Accidente Cerebrovascular Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido