Your browser doesn't support javascript.
loading
Optimizing identification of resistant hypertension: Computable phenotype development and validation.
McDonough, Caitrin W; Babcock, Kyle; Chucri, Kristen; Crawford, Dana C; Bian, Jiang; Modave, François; Cooper-DeHoff, Rhonda M; Hogan, William R.
Affiliation
  • McDonough CW; Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
  • Babcock K; Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
  • Chucri K; Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
  • Crawford DC; Department of Population and Quantitative Health Sciences, Cleveland Institute for Computational Biology, Case Western Reserve University, Cleveland, Ohio, USA.
  • Bian J; Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
  • Modave F; Department of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
  • Cooper-DeHoff RM; Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
  • Hogan WR; Division of Cardiovascular Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA.
Pharmacoepidemiol Drug Saf ; 29(11): 1393-1401, 2020 11.
Article in En | MEDLINE | ID: mdl-32844549

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Resistance / Electronic Health Records / Hypertension Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Adult / Female / Humans Language: En Journal: Pharmacoepidemiol Drug Saf Journal subject: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2020 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Drug Resistance / Electronic Health Records / Hypertension Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Adult / Female / Humans Language: En Journal: Pharmacoepidemiol Drug Saf Journal subject: EPIDEMIOLOGIA / TERAPIA POR MEDICAMENTOS Year: 2020 Type: Article Affiliation country: United States