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Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case.
Conway, Mike; Mowery, Danielle; Ising, Amy; Velupillai, Sumithra; Doan, Son; Gunn, Julia; Donovan, Michael; Wiedeman, Caleb; Ballester, Lance; Soetebier, Karl; Tong, Catherine; Burkom, Howard.
Afiliación
  • Conway M; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
  • Mowery D; Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
  • Ising A; Informatics, Decision-Enhancement, and Analytical Sciences Center (IDEAS 2.0), Veterans Affairs, Salt Lake City Health Care System , Salt Lake City, Utah, United States.
  • Velupillai S; Department of Emergency Medicine, University of North Carolina Chapel Hill, North Carolina, United States.
  • Doan S; Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
  • Gunn J; School of Electrical Engineering & Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Donovan M; Medical Informatics, Kaiser Permanente Southern California, San Diego, California, United States.
  • Wiedeman C; Boston Public Health Commission Boston, Massachusetts, United States.
  • Ballester L; Boston Public Health Commission Boston, Massachusetts, United States.
  • Soetebier K; Tennessee Department of Health, Nashville, Tennessee, United States.
  • Tong C; Georgia Department of Public Health, Atlanta, Georgia, United States.
  • Burkom H; Georgia Department of Public Health, Atlanta, Georgia, United States.
Online J Public Health Inform ; 10(2): e209, 2018.
Article en En | MEDLINE | ID: mdl-30349627
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Online J Public Health Inform Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Online J Public Health Inform Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos