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Decoding phonation with artificial intelligence (DeP AI): Proof of concept.
Powell, Maria E; Rodriguez Cancio, Marcelino; Young, David; Nock, William; Abdelmessih, Beshoy; Zeller, Amy; Perez Morales, Irvin; Zhang, Peng; Garrett, C Gaelyn; Schmidt, Douglas; White, Jules; Gelbard, Alexander.
Afiliação
  • Powell ME; Vanderbilt Bill Wilkerson Center for Otolaryngology Vanderbilt University Medical Center Nashville Tennessee U.S.A.
  • Rodriguez Cancio M; Department of Information Technology Vanderbilt University Nashville Tennessee U.S.A.
  • Young D; Vanderbilt Bill Wilkerson Center for Otolaryngology Vanderbilt University Medical Center Nashville Tennessee U.S.A.
  • Nock W; Department of Electrical Engineering and Computer Science Vanderbilt University Nashville Tennessee U.S.A.
  • Abdelmessih B; Vanderbilt Bill Wilkerson Center for Otolaryngology Vanderbilt University Medical Center Nashville Tennessee U.S.A.
  • Zeller A; Vanderbilt Bill Wilkerson Center for Otolaryngology Vanderbilt University Medical Center Nashville Tennessee U.S.A.
  • Perez Morales I; Center of Research in Computational and Numerical Methods in Engineering Central University Marta Abreu of Las Villas Santa Clara Cuba.
  • Zhang P; Infralab University of Brasília Brasília Brazil.
  • Garrett CG; Department of Electrical Engineering and Computer Science Vanderbilt University Nashville Tennessee U.S.A.
  • Schmidt D; Vanderbilt Bill Wilkerson Center for Otolaryngology Vanderbilt University Medical Center Nashville Tennessee U.S.A.
  • White J; Department of Electrical Engineering and Computer Science Vanderbilt University Nashville Tennessee U.S.A.
  • Gelbard A; Department of Electrical Engineering and Computer Science Vanderbilt University Nashville Tennessee U.S.A.
Laryngoscope Investig Otolaryngol ; 4(3): 328-334, 2019 Jun.
Article em En | MEDLINE | ID: mdl-31236467
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Laryngoscope Investig Otolaryngol Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Laryngoscope Investig Otolaryngol Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos