title: Identification of co-occurring diseases using ontological data mining techniques.
abstract: In this work we investigate the identification of co-occurring diseases in a patient database using two ontological data mining techniques: fuzzy clustering and fuzzy co-clustering. We present preliminary results on a pilot data set of 107 patients.
authors.affiliation: Health Management and Informatics Dept., University of Missouri, Columbia, MO, USA.
authors.forename: Mihail
authors.initials: M
authors.lastname: Popescu
mesh_terms: D000465:Algorithms; D015897:Comorbidity; D003933:Diagnosis; D017143:Fuzzy Logic; D006751:Hospital Information Systems; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D038801:International Classification of Diseases; D016347:Medical Records Systems, Computerized; D010865:Pilot Projects