volume 21, issue 4, P354-355 2006
DOI: 10.1016/j.jcrc.2006.10.020
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Abstract: Background: One of the requirements for an ICU patient to be considered in an inflammatory state (such as SIRS) is that his temperature fall within a given range (typically > 38 • C and < 36 • C). In order to accurately predict the future development of such an inflammatory state, an accurate prediction of the patient's future temperature is therefore required. Gaussian Processes are a machine learning technique that has been used to model and forecast real dynamic systems, because of their flexible modelling …

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