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The feasibility of using acoustic measures for predicting the Total Opacity Scores of chest computed tomography scans in patients with COVID-19.
Asiaee, Maral; Nourbakhsh, Mandana; Vahedian-Azimi, Amir; Zare, Mohammad; Jafari, Ramezan; Atashi, Seyed Shahab; Keramatfar, Abdalsamad.
Afiliação
  • Asiaee M; Department of Linguistics, Faculty of Literature, Alzahra University, Tehran, Iran.
  • Nourbakhsh M; Department of Linguistics, Faculty of Literature, Alzahra University, Tehran, Iran.
  • Vahedian-Azimi A; Trauma Research Center, Nursing faculty, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Zare M; Department of Statistics, Faculty of Mathematics and Computer Science, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
  • Jafari R; Department of Radiology, Health Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
  • Atashi SS; Department of Food and Drug control, Jundishapour University of Medical Sciences, Ahvaz, Iran.
  • Keramatfar A; Department of Data Analytics, Scientific Information Database (SID), Tehran, Iran.
Clin Linguist Phon ; 38(2): 97-115, 2024 03.
Article em En | MEDLINE | ID: mdl-36592050
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Disfonia / COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Disfonia / COVID-19 Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article