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  • 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
    … tabase.html. *Madalina Fiterau E-mail: mfiterau@cs.cmu.edu (page number not for citation …
  • 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
    … and case studies. Taylor & Francis; 2010. *Rajas Lonkar E-mail: rlonkar@andrew.cmu.edu (page number not for citation …