title: Knowledge representation forms for data mining methodologies as applied in thoracic surgery.
abstract: Typical ways of disseminating and using results of clinical research are scientific journals and reports. Presentation forms are condensed and comprehensible mainly to the experts following the specific topics. A vast amount of information remains unutilized due to the complex form of presenting the knowledge. Subject of this research is to explore possibilities of representation and also visualization of the results obtained using data mining methodologies. The intention is to formulate more than scientific ways to communicate facts that are of interest for the clinicians, medical students and even patients. Internet technologies as already widely established media support knowledge representation forms such as hypertext documents and structured knowledge components. The "Assist Me" decision support system for surgical treatment of cardiac patients integrates several forms of data mining and representation methodologies. We are showing a feasibility study in which scientific outcomes were forwarded to a broad group of potential users.
authors.affiliation: Department of Biomedical Engineering, Linköpings University, Sweden.
authors.forename: A
authors.initials: A
authors.lastname: Kircher
authors.forename: H
authors.initials: H
authors.lastname: Granfeldt
authors.forename: A
authors.initials: A
authors.lastname: Babic
authors.forename: J
authors.initials: J
authors.lastname: Antonsson
authors.forename: U
authors.initials: U
authors.lastname: Lönn
authors.forename: H C
authors.initials: HC
authors.lastname: Ahn
mesh_terms: D001185:Artificial Intelligence; D003658:Decision Making, Computer-Assisted; D020000:Decision Support Systems, Clinical; D005240:Feasibility Studies; D006801:Humans; D019146:Hypermedia; D016247:Information Storage and Retrieval; D016347:Medical Records Systems, Computerized; D017410:Practice Guidelines as Topic; D011381:Programming Languages; D012984:Software; D013903:Thoracic Surgery / Q000706:statistics & numerical data