Temporal pattern discovery in longitudinal electronic patient records

This publication has 20 references indexed in Scilit:

• Sequential Case Series Analysis for Pharmacovigilance
  Journal of the Royal Statistical Society Series A: Statistics in Society, 2008
• Mining Unexpected Temporal Associations: Applications in Detecting Adverse Drug Reactions
  IEEE Transactions on Information Technology in Biomedicine, 2008
• Impact of Stratification on Adverse Drug Reaction Surveillance
  Drug Safety, 2008
• Introduction
  ACM SIGKDD Explorations Newsletter, 2007
• Early detection of adverse drug events within population‐based health networks: application of sequential testing methods
  Pharmacoepidemiology and Drug Safety, 2007
• Frequent pattern mining: current status and future directions
  Data Mining and Knowledge Discovery, 2007
• Mining sequential patterns
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
• A Retrospective Evaluation of a Data Mining Approach to Aid Finding New Adverse Drug Reaction Signals in the WHO International Database
  Drug Safety, 2000
• Bayesian Data Mining in Large Frequency Tables, with an Application to the FDA Spontaneous Reporting System
  The American Statistician, 1999
• A Bayesian neural network method for adverse drug reaction signal generation
  European Journal of Clinical Pharmacology, 1998