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Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis.
Gonzalez, Gabriela; Vaculik, Kristina; Khalil, Carine; Zektser, Yuliya; Arnold, Corey; Almario, Christopher V; Spiegel, Brennan; Anger, Jennifer.
Afiliación
  • Gonzalez G; Department of Urology, Davis School of Medicine, University of California, Davis, Sacramento, CA, United States.
  • Vaculik K; Cedars-Sinai Center for Outcomes Research and Education, Los Angeles, CA, United States.
  • Khalil C; Cedars-Sinai Center for Outcomes Research and Education, Los Angeles, CA, United States.
  • Zektser Y; David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
  • Arnold C; Computational Diagnostics, Departments of Radiology and Pathology, University of California, Los Angeles, CA, United States.
  • Almario CV; Cedars-Sinai Center for Outcomes Research and Education, Los Angeles, CA, United States.
  • Spiegel B; Cedars-Sinai Center for Outcomes Research and Education, Los Angeles, CA, United States.
  • Anger J; Department of Urology, University of California San Diego, La Jolla, CA, United States.
J Med Internet Res ; 24(1): e26781, 2022 01 25.
Article en En | MEDLINE | ID: mdl-35076404

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Medios de Comunicación Sociales Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Infecciones Urinarias / Medios de Comunicación Sociales Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article