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Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning.
Doborjeh, Maryam; Liu, Xiaoxu; Doborjeh, Zohreh; Shen, Yuanyuan; Searchfield, Grant; Sanders, Philip; Wang, Grace Y; Sumich, Alexander; Yan, Wei Qi.
Afiliação
  • Doborjeh M; Knowledge Engineering and Discovery Research Institute (KEDRI), School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
  • Liu X; Knowledge Engineering and Discovery Research Institute (KEDRI), School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
  • Doborjeh Z; Centre for Robotics & Vision (CeRV), Auckland University of Technology, Auckland 1010, New Zealand.
  • Shen Y; Eisdell Moore Centre, Audiology, School of Population Health, The University of Auckland, Auckland 1010, New Zealand.
  • Searchfield G; School of Psychology, The University of Waikato, Hamilton 3216, New Zealand.
  • Sanders P; Knowledge Engineering and Discovery Research Institute (KEDRI), School of Engineering Computer and Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand.
  • Wang GY; Eisdell Moore Centre, Audiology, School of Population Health, The University of Auckland, Auckland 1010, New Zealand.
  • Sumich A; Eisdell Moore Centre, Audiology, School of Population Health, The University of Auckland, Auckland 1010, New Zealand.
  • Yan WQ; School of Psychology and Wellbeing, University of Southern Queensland, Darling Heights, QLD 4350, Australia.
Sensors (Basel) ; 23(2)2023 Jan 12.
Article em En | MEDLINE | ID: mdl-36679693
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Zumbido / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Nova Zelândia
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Zumbido / Aprendizado Profundo Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Nova Zelândia