Research Article
e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders
@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
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.
