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.
Complete list of metadatas

Cited literature [6 references]  Display  Hide  Download

https://hal.inria.fr/hal-01569023
Contributor : Yann Dauxais <>
Submitted on : Wednesday, July 26, 2017 - 11:01:34 AM
Last modification on : Saturday, September 14, 2019 - 1:32:47 AM

Files

main.pdf
Files produced by the author(s)

Identifiers

Citation

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⟩

Share

Metrics

Record views

709

Files downloads

173