CinC Challenge: Predicting In-hospital Mortality of Intensive Care Unit by Analyzing Histogram of Medical Variables under Cascaded Adaboost Model


In this paper, we develop an effective framework to predict in-hospital mortality (IHM) during intensive care unit (ICU) stay, on the basis of specific medical variables. This work involves both binary mortality predictions and mortality risk estimates, corresponding to Event-1 and Event-2 of the Computing in Cardiology (CinC) Challenge 2012. Our proposed… (More)


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