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Coupling Data Mining and Laboratory Experiments to Discover Drug Interactions Causing QT Prolongation.
Lorberbaum, Tal; Sampson, Kevin J; Chang, Jeremy B; Iyer, Vivek; Woosley, Raymond L; Kass, Robert S; Tatonetti, Nicholas P.
Afiliação
  • Lorberbaum T; Department of Physiology and Cellular Biophysics, Columbia University, New York, New York; Department of Biomedical Informatics, Columbia University, New York, New York.
  • Sampson KJ; Department of Pharmacology, Columbia University, New York, New York.
  • Chang JB; Department of Biomedical Informatics, Columbia University, New York, New York.
  • Iyer V; Department of Cardiology, Columbia University, New York, New York.
  • Woosley RL; Azcert, Inc., Oro Valley, Arizona.
  • Kass RS; Department of Pharmacology, Columbia University, New York, New York.
  • Tatonetti NP; Department of Biomedical Informatics, Columbia University, New York, New York. Electronic address: nick.tatonetti@columbia.edu.
J Am Coll Cardiol ; 68(16): 1756-1764, 2016 10 18.
Article em En | MEDLINE | ID: mdl-27737742
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do QT Longo / Ceftriaxona / Cefuroxima / Inibidores da Bomba de Prótons / Mineração de Dados / Lansoprazol Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: J Am Coll Cardiol Ano de publicação: 2016 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do QT Longo / Ceftriaxona / Cefuroxima / Inibidores da Bomba de Prótons / Mineração de Dados / Lansoprazol Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: J Am Coll Cardiol Ano de publicação: 2016 Tipo de documento: Article