A formal concept analysis and semantic query expansion cooperation to refine health outcomes of interest

Olivier Curé (1) , Henri Maurer , Nigam Shah (2) , Paea Le Pendu

1 LIGM - Laboratoire d'Informatique Gaspard-Monge
2 BMIR - Stanford Center for BioMedical Informatics Research

Background: Clinicians and researchers often use Electronic Health Records (EHRs) to search for, extract, and analyze groups of patients by defining health outcome of interests. Their definition is generally considered a complex and time consuming task for health care professionals.

Domaines: Intelligence artificielle [cs.AI]; Base de données [cs.DB]; Bio-informatique [q-bio.QM]

Olivier Curé, Henri Maurer, Nigam Shah, Paea Le Pendu. A formal concept analysis and semantic query expansion cooperation to refine health outcomes of interest. BMC Medical Informatics and Decision Making, 2015, 15 (S1), ⟨10.1186/1472-6947-15-S1-S8⟩. ⟨hal-01740526⟩