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• A Decision Tree Analysis of Opioid and Prescription Drug Interactions Leading to Death Using the FAERS Database

  Author(s):

  Rohit R. Dixit (see profile) , Robert P. Schumaker, Michael A. Veronin

  Date:

  2018

  Subject(s):

  Artificial intelligence

  Item Type:

  Abstract

  Tag(s):

  Adverse Drug Events, decision support, Food and Drug Administration, machine learning

  
  

• Irony of the FAERS Database: An Analysis of Data Input Errors and Potential Consequences

  Author(s):

  Michael A. Veronin, Robert P. Schumaker, Rohit R. Dixit (see profile) , Morgan Ogwo

  Date:

  2018

  Item Type:

  Abstract

  Tag(s):

  Data cleaning, Data error, Data input, FAERS database, Food and Drug Administration, MedWatch

  
  

• Calculating a Severity Score of an Adverse Drug Event Using Machine Learning on the FAERS Database

  Author(s):

  Robert P. Schumaker, Michael A. Veronin, Rohit R. Dixit (see profile) , Pooja Dhake, Danya Manson

  Date:

  2017

  Subject(s):

  Machine learning

  Item Type:

  Abstract

  Tag(s):

  Adverse Drug Events, BioInformatics, machine learning, Pharmacovigilance

  
  

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