Gaussian Processes for Prediction in Intensive Care


In this paper we present the use of Gaussian Processes for regression in the application of prediction in Intensive Care. We propose a preliminary solution to predicting the evolution of a patient’s state during his stay in intensive care by means of defined patient specific characteristics. 
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