title: Assisting e-patients in an Ask the Doctor Service.
abstract: Ask the doctor services are personalized forums allowing patients to ask questions directly to doctors. Usually, patients must choose the most appropriate category for their question among lots of categories to be redirected to the most relevant physician. However, manual selection is tedious and error prone activity. In this work we propose to assist the patients in this task by recommending a short list of most appropriate categories.
authors.affiliation: LIRMM, 860 St Priest Street, 34095 Montpellier, France.
authors.forename: Amine
authors.initials: A
authors.lastname: Abdaoui
authors.affiliation: LIRMM, 860 St Priest Street, 34095 Montpellier, France.
authors.forename: Jérôme
authors.initials: J
authors.lastname: Azé
authors.affiliation: LIRMM, 860 St Priest Street, 34095 Montpellier, France.
authors.forename: Sandra
authors.initials: S
authors.lastname: Bringay
authors.affiliation: LIRMM, 860 St Priest Street, 34095 Montpellier, France.
authors.forename: Pascal
authors.initials: P
authors.lastname: Poncelet
mesh_terms: D057225:Data Mining / Q000379:methods*; D005602:France; D020407:Internet / Q000458:organization & administration*; D000069550:Machine Learning; D010817:Physician-Patient Relations; D019114:Remote Consultation / Q000379:methods / Q000458:organization & administration*; D014584:User-Computer Interface