title: Design and application of a generic clinical decision support system for multiscale data.
abstract: Medical research and clinical practice are currently being redefined by the constantly increasing amounts of multiscale patient data. New methods are needed to translate them into knowledge that is applicable in healthcare. Multiscale modeling has emerged as a way to describe systems that are the source of experimental data. Usually, a multiscale model is built by combining distinct models of several scales, integrating, e.g., genetic, molecular, structural, and neuropsychological models into a composite representation. We present a novel generic clinical decision support system, which models a patient's disease state statistically from heterogeneous multiscale data. Its goal is to aid in diagnostic work by analyzing all available patient data and highlighting the relevant information to the clinician. The system is evaluated by applying it to several medical datasets and demonstrated by implementing a novel clinical decision support tool for early prediction of Alzheimer's disease.
authors: VTT Technical Research Centre of Finland, Tampere, Finland. jussi.mattila@vtt.fi
authors: Jussi
authors: J
authors: Mattila
authors: Juha
authors: J
authors: Koikkalainen
authors: Arho
authors: A
authors: Virkki
authors: Mark
authors: M
authors: van Gils
authors: Jyrki
authors: J
authors: Lötjönen
mesh_terms: D000544:Alzheimer Disease / Q000175:diagnosis*; D057225:Data Mining / Q000379:methods*; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D055991:Health Records, Personal; D006801:Humans; D012984:Software; D012985:Software Design