Temporal models of care sequences for the exploration of medico-administrative data

Johanne Bakalara 1, 2
1 LACODAM - Large Scale Collaborative Data Mining
IRISA_D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE, Inria Rennes – Bretagne Atlantique
Abstract : Pharmacoepidemiology with medico-administrative databases enables to study health products impact in real-life settings. However, querying this data in a medical perspective is still a challenge because of the complexity of temporal constraints for medical patterns. This PhD thesis aims at proposing a formal framework for the analysis of temporal medical patterns that would support a well-founded tool for querying care trajectories. This paper presents our problematic and introduce a use-case which illustrates the comparison of several querying formalisms.
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Johanne Bakalara. Temporal models of care sequences for the exploration of medico-administrative data. Artificial Intelligence in Medicine, Jun 2019, poznan, Poland. ⟨hal-02265731⟩

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