title: Data mining challenges in the design of telemedicine platforms.
abstract: The evolution of telemedicine information systems involves the general processes of acquiring useful knowledge from medical data sets for diagnosis, intelligent efficient patient record transmission and autonomous adaptation of biomedical devices and their related software environments using quality of service attributes. Knowledge engineering concepts and methods allow application to the design of intelligent telemedicine platforms, satisfying the performance requirements and the quality assurance criteria of each specialized telemedicine application.
authors.affiliation: Department of Informatics, Athens University of Economics and Business. ank@aueb.gr
authors.forename: Anastasia N
authors.initials: AN
authors.lastname: Kastania
mesh_terms: D001185:Artificial Intelligence; D003195:Computer Communication Networks; D003299:Cooperative Behavior; D003628:Database Management Systems; D019992:Databases as Topic; D006801:Humans; D017146:Models, Organizational; D019212:Multimedia; D017216:Telemedicine / Q000458:organization & administration*