title: Distributed intelligent data analysis in diabetic patient management.
abstract: This paper outlines the methodologies that can be used to perform an intelligent analysis of diabetic patients' data, realized in a distributed management context. We present a decision-support system architecture based on two modules, a Patient Unit and a Medical Unit, connected by telecommunication services. We stress the necessity to resort to temporal abstraction techniques, combined with time series analysis, in order to provide useful advice to patients; finally, we outline how data analysis and interpretation can be cooperatively performed by the two modules.
authors.affiliation: Dipartimento di Informatica e Sistemistica, Università di Pavia, Italy.
authors.forename: R
authors.initials: R
authors.lastname: Bellazzi
authors.forename: C
authors.initials: C
authors.lastname: Larizza
authors.forename: A
authors.initials: A
authors.lastname: Riva
authors.forename: A
authors.initials: A
authors.lastname: Mira
authors.forename: S
authors.initials: S
authors.lastname: Fiocchi
authors.forename: M
authors.initials: M
authors.lastname: Stefanelli
mesh_terms: D003195:Computer Communication Networks; D003661:Decision Support Techniques; D003922:Diabetes Mellitus, Type 1 / Q000628:therapy*; D006801:Humans; D010353:Patient Education as Topic / Q000379:methods; D012984:Software; D018511:Systems Integration; D013813:Therapy, Computer-Assisted; D013995:Time