5th International workshop on Personalisation for e-Health

Research Article

e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders

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  • @INPROCEEDINGS{10.1007/978-3-642-23635-8_34,
        author={Marina Velikova and Peter Lucas and Marc Spaanderman},
        title={e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders},
        proceedings={5th International workshop on Personalisation for e-Health},
        proceedings_a={PERS4EHEALTH},
        year={2012},
        month={10},
        keywords={},
        doi={10.1007/978-3-642-23635-8_34}
    }
    
  • Marina Velikova
    Peter Lucas
    Marc Spaanderman
    Year: 2012
    e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders
    PERS4EHEALTH
    Springer
    DOI: 10.1007/978-3-642-23635-8_34
Marina Velikova1,*, Peter Lucas1,*, Marc Spaanderman2,*
  • 1: Radboud University Nijmegen
  • 2: Radboud University Nijmegen Medical Centre
*Contact email: marinav@cs.ru.nl, peterl@cs.ru.nl, M.Spaanderman@obgyn.umcn.nl

Abstract

We present a novel intelligent on-line system for home- monitoring of pregnant women that is developed to offer pregnant women personalised care. Present home-monitoring devices are restricted as they only collect physiological parameters and send them to a personal computer or cell phone for data storage and visualisation. In our work, however, we focus on the development of a probabilistic model that, based on the data available from different sources, is able to predict the evolution of a pregnancy disorder, here preeclampsia. The paper outlines the basic components of the system, describes in detail the decision-support model based on Bayesian networks, and report preliminary system’s application results using real patient data.