title: A recommender system for medical imaging diagnostic.
abstract: The large volume of data captured daily in healthcare institutions is opening new and great perspectives about the best ways to use it towards improving clinical practice. In this paper we present a context-based recommender system to support medical imaging diagnostic. The system relies on data mining and context-based retrieval techniques to automatically lookup for relevant information that may help physicians in the diagnostic decision.
authors.affiliation: Department of Electronics, Telecommunications and Informatics (DETI) IEETA - Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro, Aveiro, Portugal.
authors.forename: Eriksson
authors.initials: E
authors.lastname: Monteiro
authors.affiliation: Department of Electronics, Telecommunications and Informatics (DETI) IEETA - Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro, Aveiro, Portugal.
authors.forename: Frederico
authors.initials: F
authors.lastname: Valente
authors.affiliation: Department of Electronics, Telecommunications and Informatics (DETI) IEETA - Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro, Aveiro, Portugal.
authors.forename: Carlos
authors.initials: C
authors.lastname: Costa
authors.affiliation: Department of Electronics, Telecommunications and Informatics (DETI) IEETA - Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro, Aveiro, Portugal.
authors.forename: José Luís
authors.initials: JL
authors.lastname: Oliveira
mesh_terms: D057225:Data Mining / Q000379:methods*; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003952:Diagnostic Imaging / Q000379:methods; D005103:Expert Systems; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009323:Natural Language Processing; D011873:Radiology Information Systems / Q000458:organization & administration*; D057386:Search Engine / Q000379:methods*