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INTRODUCTION Non-invasive ventilation (NIV) in children has become an increasingly common modality of breathing support where pressure support is delivered through a mask interface or less commonly through other non-invasive interfaces. At this time, NIV is considered a first-line option for ventilatory support of chronic respiratory insufficiency(More)
In this paper, we develop a semi-supervised regression algorithm to analyze data sets which contain both categorical and numerical attributes. This algorithm partitions the data sets into several clusters and at the same time fits a multivariate regression model to each cluster. This framework allows one to incorporate both multivariate regression models(More)
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