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Displaying results 1 - 2 of 2
  • Content Type: Abstract

    Cardiovascular event prediction has long been of interest in the practice of intensive care. It has been approached using signal-processing of vital signs [1-4], including the use of graphical models [3,4]. Our approach is novel in making data… read more
    … and in real time, without requiring patient-specific training data if the patient-specific feedback signal is … and in real time, without requiring patient-specific training data if the patient-specific feedback signal is … subsampling, using data from the patients held out of the training set. The proposed approach brings the AUC metric …
  • Content Type: Abstract

    The status of each Intensive Care Unit (ICU) patient is routinely monitored and a number of vital signs are recorded at sub-second frequencies which results in large amounts of data. We propose an approach to transform this stream of raw vital… read more
    … each type of these automatically extracted events using training data, which contain actual health alerts, in …