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Declarative Sequential Pattern Mining of Care Pathways

Abstract : 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.
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Contributor : Yann Dauxais Connect in order to contact the contributor
Submitted on : Wednesday, July 26, 2017 - 11:01:34 AM
Last modification on : Tuesday, November 1, 2022 - 3:54:38 AM


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Thomas Guyet, André Happe, Yann Dauxais. Declarative Sequential Pattern Mining of Care Pathways. Conference on Artificial Intelligence in Medicine in Europe, Jun 2017, Vienna, Austria. pp.1161 - 266, ⟨10.1007/978-3-319-59758-4_29⟩. ⟨hal-01569023⟩



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