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Screening of COVID-19 cases through a Bayesian network symptoms model and psychophysical olfactory test.
Eyheramendy, Susana; Saa, Pedro A; Undurraga, Eduardo A; Valencia, Carlos; López, Carolina; Méndez, Luis; Pizarro-Berdichevsky, Javier; Finkelstein-Kulka, Andrés; Solari, Sandra; Salas, Nicolás; Bahamondes, Pedro; Ugarte, Martín; Barceló, Pablo; Arenas, Marcelo; Agosin, Eduardo.
Afiliação
  • Eyheramendy S; Faculty of Engineering and Science, Universidad Adolfo Ibáñez, Santiago, Chile.
  • Saa PA; Millennium Institute for Foundational Research on Data (IMFD), Santiago, Chile.
  • Undurraga EA; Department of Chemical and Bioprocess Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Valencia C; Institute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • López C; School of Government, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Méndez L; Millennium Initiative for Collaborative Research in Bacterial Resistance (MICROB-R), Santiago, Chile.
  • Pizarro-Berdichevsky J; Research Center for Integrated Disaster Risk Management (CIGIDEN), Santiago, Chile.
  • Finkelstein-Kulka A; CIFAR Azrieli Global Scholars Program, Toronto, Canada.
  • Solari S; Center for Aromas and Flavors, DICTUC SA., Santiago, Chile.
  • Salas N; Center for Aromas and Flavors, DICTUC SA., Santiago, Chile.
  • Bahamondes P; Endoscopy Unit, Hospital Padre Hurtado, Santiago, Chile.
  • Ugarte M; Department of Gastroenterology, Clínica Alemana de Santiago, Santiago, Chile.
  • Barceló P; Center for Innovation in Pelvic Floor, Hospital Sótero del Río, Santiago, Chile.
  • Arenas M; Department of Obstetrics and Gynecology, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
  • Agosin E; Department of Otolaryngology, Clínica Alemana de Santiago, Santiago, Chile.
iScience ; 24(12): 103419, 2021 Dec 17.
Article em En | MEDLINE | ID: mdl-34786538
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article