e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders
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.
KeywordsBayesian Network Smart Phone Hospital Information System Bayesian Network Model Marginal Probability Distribution
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