title: ADEMA: a decision support system for asthma health care.
abstract: Asthma is a distressing disease, affecting up to 7% of the French population and causing considerable morbidity and mortality. A medical decision support system such can help physicians to control this chronic disease. Thanks to the health care network (RESALIS) of Fedialis Médica (disease management branch from GlaxoSmithKline), asthma consultation data were collected to exploit them. We chose Case-Based Reasoning paradigm to develop our medical decision support system. Intelligent data analysis methods have been used to determine the case model for our system. Our similarity metric is based on the MVDM method. We developed two methods to reuse retrieved cases. We present our data analysis results and similarity metric from which we designed our Case Based System for asthmatic patients health care: ADEMA. To conclude, an evaluation of ADEMA is presented.
authors.affiliation: PSI Laboratory-FRE CNRS 2645, University and INSA of Rouen, France. icham.sefion@univ-rouen.fr
authors.forename: Icham
authors.initials: I
authors.lastname: Sefion
authors.forename: Abdel
authors.initials: A
authors.lastname: Ennaji
authors.forename: Marc
authors.initials: M
authors.lastname: Gailhardou
authors.forename: Stéphane
authors.initials: S
authors.lastname: Canu
mesh_terms: D000465:Algorithms; D001249:Asthma / Q000628:therapy*; D020000:Decision Support Systems, Clinical; D019468:Disease Management; D005602:France; D006801:Humans; D014584:User-Computer Interface