title: Ontology driven decision support systems for medical diagnosis - an interactive form for consultation in patients with plasma cell disease.
abstract: Multiple myeloma (MM) is a malignant disorder characterized by the monoclonal proliferation of B cell derived plasma cells in the bone marrow. The diagnosis depends on the identification of abnormal monoclonal marrow plasma cells, monoclonal protein in the serum or urine, evidence of end-organ damage, and a clinical picture consistent with MM. The distinction between MM stages- monoclonal gammopathy of undetermined significance or indolent myeloma-is critical in guiding therapy. This paper describes how to produce ontology-driven semiological rules base (SRB) and a consultation form to aid in the diagnosis of plasma cells diseases. We have extracted the MM sub-ontology from the NCI Thesaurus. Using Protégé 3.4.2 and owl1, criteria in the literature for the diagnosis and staging of MM have been added to the ontology. All quantitative parameters have been transformed to a qualitative format. A formal description of MM variants and stages has been given. The obtained ontology has been checked by a reasoner and instantiated to obtain a SRB. The form created has been tested and evaluated utilizing 63 clinical medical reports. The likelihood for a disease being the correct diagnosis is determined by computing a ratio. The resulting tool is relevant for MM diagnosis and staging.
authors.affiliation: Faculté de Médecine, Rennes 1 University, France. valerydonfack@hotmail.com
authors.forename: Valéry
authors.initials: V
authors.lastname: Donfack Guefack
authors.forename: Valérie
authors.initials: V
authors.lastname: Bertaud Gounot
authors.forename: Régis
authors.initials: R
authors.lastname: Duvauferrier
authors.forename: Annabel
authors.initials: A
authors.lastname: Bourde
authors.forename: John
authors.initials: J
authors.lastname: Morelli
authors.forename: Jérémy
authors.initials: J
authors.lastname: Lasbleiz
mesh_terms: D001185:Artificial Intelligence; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D009101:Multiple Myeloma / Q000175:diagnosis*; D012017:Referral and Consultation; D009626:Terminology as Topic; D014584:User-Computer Interface