Declarative Sequential Pattern Mining of Care Pathways

  • Thomas GuyetEmail author
  • André Happe
  • Yann Dauxais
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10259)


Sequential pattern mining algorithms are widely used to explore care pathways database, but they generate a deluge of patterns, mostly redundant or useless. Clinicians need tools to express complex mining queries in order to generate less but more significant patterns. These algorithms are not versatile enough to answer complex clinician queries. This article proposes to apply a declarative pattern mining approach based on Answer Set Programming paradigm. It is exemplified by a pharmaco-epidemiological study investigating the possible association between hospitalization for seizure and antiepileptic drug switch from a french medico-administrative database.


Answer Set Programming Epidemiology Medico-administrative databases Patient care pathways 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  2. 2.CHRU Brest/EA-7449 REPERESParisFrance
  3. 3.Rennes University 1/IRISA-UMR6074RennesFrance

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