Acute ischaemic stroke prediction from physiological time series patterns
Acute ischaemic stroke prediction from physiological time series patterns is a scholarly work, published in 2013 in ''Australasian Medical Journal''. The main subjects of the publication include artificial intelligence, medicine, regression analysis, stroke, stroke, set, predictive modelling, machine learning, and series. The authors demonstrated that using trend pattern features in prediction methods improved the accuracy of stroke outcome prediction.