title: Adaptive intelligent systems for pHealth - an architectural approach.
abstract: Health systems around the globe, especially in developing countries, are facing the challenge of delivering effective, safe, and high quality public health and individualized health services independent of time and location, and with minimum of allocated resources (pHealth). In this context, health promotion and health education services are very important, especially in primary care settings. The objective of this paper is to describe the architecture of an adaptive intelligent system mainly developed to support education and training of citizens, but also of health professionals. The proposed architecture describes a system consisting of several agents that cooperatively interact to find and process tutoring materials to disseminate them to users (multi-agent system). A prototype is being implemented which includes medical students from the Medical Faculty at University of Cauca (Colombia). In the experimental process, the student´s learning style - detected with the Bayesian Model - is compared against the learning style obtained from a questioner (manual approach).
authors.affiliation: Electronics and Telecommunications Faculty, University of Cauca, Colombia. cgonzals@unicauca.edu.co
authors.forename: Carolina
authors.initials: C
authors.lastname: González
authors.forename: Bernd
authors.initials: B
authors.lastname: Blobel
authors.forename: Diego M
authors.initials: DM
authors.lastname: López
mesh_terms: D001185:Artificial Intelligence; D003628:Database Management Systems; D020000:Decision Support Systems, Clinical; D057286:Electronic Health Records / Q000458:organization & administration*; D005246:Feedback; D016247:Information Storage and Retrieval / Q000379:methods*; D017146:Models, Organizational; D057285:Precision Medicine; D012660:Semantics