Gabrielle Horne

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BACKGROUND Medical, social and economic costs of congestive heart failure (CHF) continue to rise. There exists a 'care gap' between what the optimal care populations with CHF should receive and actually do receive. Central to the goal to develop effective strategies against the 'care gap' is accurate measurement of the CHF burden. Administrative data are(More)
Data fusion is an important tool for improving the performance of a detection system when more than one classifier is available. The reasoning logic of Dempster-Shafer evidence theory for fusion is similar to that of humans. This paper discusses application of a data fusion method which is based on improvements to the Dempster-Shafer theory, to(More)
In this paper, the detection of the boundaries and extraction of the area of left ventricular are proposed. The echocardiographic image is preprocessed to enhance the contrast and smoothness by utilizing Multi Valued Neural Cellular Neural Networks (MVN_CNN) non linear filter. UBN_CNN is applied to the smoothed image to detect the heart boundaries. A non(More)
BACKGROUND Women with connective tissue disorders are at risk for cardiovascular complications during pregnancy, but there are no guidelines for pregnant women with aortic root diameter>45 mm or with rapid aortic widening. We describe the issues of practical significance in the management of pregnancy and delivery in a woman with Marfan syndrome (MFS). (More)
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