Timing Matters: A Machine Learning Method for the Prioritization of Drug-Drug Interactions Through Signal Detection in the FDA Adverse Event Reporting System and Their Relationship with Time of Co-exposure.

Abstract

Authors

• Vera Battini
  Department of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, Copenhagen, Denmark. vera.battini@unimi.it.
• Marianna Cocco
  Department of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, Copenhagen, Denmark.
• Maria Antonietta Barbieri
  Department of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, Copenhagen, Denmark.
• Greg Powell
  Safety Innovation and Analytics, GSK, Durham, NC, USA.
• Carla Carnovale
  Pharmacovigilance and Clinical Research, International Centre for Pesticides and Health Risk Prevention, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli, Sacco University Hospital, Università degli Studi di Milano, Milan, Italy.
• Emilio Clementi
  Pharmacovigilance and Clinical Research, International Centre for Pesticides and Health Risk Prevention, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli, Sacco University Hospital, Università degli Studi di Milano, Milan, Italy.
• Andrew Bate
  Pfizer, London, UK.
• Maurizio Sessa
  Department of Drug Design and Pharmacology, Drug Safety Group, University of Copenhagen, Copenhagen, Denmark.

Keywords

External Resources