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Evaluating automated approaches to anaphylaxis case classification using unstructured data from the FDA Sentinel System.
Ball, Robert; Toh, Sengwee; Nolan, Jamie; Haynes, Kevin; Forshee, Richard; Botsis, Taxiarchis.
Affiliation
  • Ball R; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, FDA, Silver Spring, MD, USA.
  • Toh S; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
  • Nolan J; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
  • Haynes K; Translational Research for Affordability and Quality, HealthCore, Inc., Wilmington, DE, USA.
  • Forshee R; Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, FDA, Silver Spring, MD, USA.
  • Botsis T; Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, FDA, Silver Spring, MD, USA.
Pharmacoepidemiol Drug Saf ; 27(10): 1077-1084, 2018 10.
Article in En | MEDLINE | ID: mdl-30152575

Full text: 1 Database: MEDLINE Main subject: United States Food and Drug Administration / Algorithms / Sentinel Surveillance / Data Analysis / Anaphylaxis Type of study: Evaluation_studies / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Pharmacoepidemiol Drug Saf Journal subject: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2018 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: United States Food and Drug Administration / Algorithms / Sentinel Surveillance / Data Analysis / Anaphylaxis Type of study: Evaluation_studies / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Pharmacoepidemiol Drug Saf Journal subject: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2018 Type: Article Affiliation country: United States