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

  • Marina Velikova
  • Peter J. F. Lucas
  • Marc Spaanderman
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 69)

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.

Keywords

Bayesian Network Smart Phone Hospital Information System Bayesian Network Model Marginal Probability Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2011

Authors and Affiliations

  • Marina Velikova
    • 1
  • Peter J. F. Lucas
    • 1
  • Marc Spaanderman
    • 2
  1. 1.Institute for Computing and Information SciencesRadboud University NijmegenThe Netherlands
  2. 2.Department of Obstetrics and GynaecologyRadboud University Nijmegen Medical CentreThe Netherlands

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