Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2010, Ayia Napa, Cyprus, October 18-20, 2010. Revised Selected Papers

Research Article

An Intelligent System for Classification of Patients Suffering from Chronic Diseases

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  • @INPROCEEDINGS{10.1007/978-3-642-20865-2_6,
        author={Christos Bellos and Athanasios Papadopoulos and Dimitrios Fotiadis and Roberto Rosso},
        title={An Intelligent System for Classification of Patients Suffering from Chronic Diseases},
        proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2010, Ayia Napa, Cyprus, October 18-20, 2010. Revised Selected Papers},
        proceedings_a={MOBIHEALTH},
        year={2012},
        month={5},
        keywords={Personalized treatment Wearable Monitoring Management ofchronic disease},
        doi={10.1007/978-3-642-20865-2_6}
    }
    
  • Christos Bellos
    Athanasios Papadopoulos
    Dimitrios Fotiadis
    Roberto Rosso
    Year: 2012
    An Intelligent System for Classification of Patients Suffering from Chronic Diseases
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-642-20865-2_6
Christos Bellos1,*, Athanasios Papadopoulos1,*, Dimitrios Fotiadis1,*, Roberto Rosso2,*
  • 1: FORTH BRI Foundation for Research and Technology - Hellas
  • 2: TESAN Telematic & Biomedical Services S.p.A.
*Contact email: cbellos@cc.uoi.gr, thpapado@cc.uoi.gr, fotiadis@cs.uoi.gr, rosso@tesan.it

Abstract

The CHRONIOUS system addresses a smart wearable platform, based on multi-parametric sensor data processing, for monitoring people suffering from chronic diseases in long-stay setting. An intelligent system, placed at a Smart Assistant Device, analyzes incoming data, facilitating data mining techniques and decides upon the severity of a probably pathological episode. Part of the intelligent system is the Mental Support Tool, which calculates a stress index and classifies the mental condition and stress levels of the patient. An additional component aiming at the personalization of the monitoring system is the Profiler which defines several patients’ profiles and facilitates clustering techniques in order to associate each resulting cluster with one of the predefined profiles.