Declarative Sequential Pattern Mining of Care Pathways
  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.
