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.
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© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Velikova, M., Lucas, P.J.F., Spaanderman, M. (2011). e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders. In: Szomszor, M., Kostkova, P. (eds) Electronic Healthcare. eHealth 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 69. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23635-8_34
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DOI: https://doi.org/10.1007/978-3-642-23635-8_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23634-1
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