Your browser doesn't support javascript.
loading
Combining multivariate statistics and the think-aloud protocol to assess Human-Computer Interaction barriers in symptom checkers.
Marco-Ruiz, Luis; Bønes, Erlend; de la Asunción, Estela; Gabarron, Elia; Aviles-Solis, Juan Carlos; Lee, Eunji; Traver, Vicente; Sato, Keiichi; Bellika, Johan G.
Afiliación
  • Marco-Ruiz L; Norwegian Centre for E-health Research, University Hospital of North Norway, P.O. Box 35, N-9038 Tromsø, Norway; Department of Clinical Medicine, Faculty of Health Sciences, UIT The Arctic University of Norway, 9037 Tromsø, Norway. Electronic address: luis.marco.ruiz@ehealthresearch.no.
  • Bønes E; Norwegian Centre for E-health Research, University Hospital of North Norway, P.O. Box 35, N-9038 Tromsø, Norway.
  • de la Asunción E; Norwegian Centre for E-health Research, University Hospital of North Norway, P.O. Box 35, N-9038 Tromsø, Norway.
  • Gabarron E; Norwegian Centre for E-health Research, University Hospital of North Norway, P.O. Box 35, N-9038 Tromsø, Norway; Department of Clinical Medicine, Faculty of Health Sciences, UIT The Arctic University of Norway, 9037 Tromsø, Norway.
  • Aviles-Solis JC; Department of Community Medicine, Faculty of Health Sciences, UIT The Arctic University of Norway, 9037 Tromsø, Norway.
  • Lee E; SINTEF, Forskningsveien 1, 0373 Oslo, Norway.
  • Traver V; Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
  • Sato K; Institute of Design, Illinois Institute of Technology, 565 West Adams Street, Chicago, IL 60661, United States; Department of Computer Science, UIT The Arctic University of Norway, 9037 Tromsø, Norway.
  • Bellika JG; Norwegian Centre for E-health Research, University Hospital of North Norway, P.O. Box 35, N-9038 Tromsø, Norway; Department of Clinical Medicine, Faculty of Health Sciences, UIT The Arctic University of Norway, 9037 Tromsø, Norway.
J Biomed Inform ; 74: 104-122, 2017 10.
Article en En | MEDLINE | ID: mdl-28893671
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas Hombre-Máquina Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sistemas Hombre-Máquina Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: J Biomed Inform Asunto de la revista: INFORMATICA MEDICA Año: 2017 Tipo del documento: Article