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Exploring Associations Between Changes in Ambient Temperature and Stroke Occurrence: Comparative Analysis Using Global and Personalised Modelling Methods

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Authors

Liang, Wen

Hu, Yingjie

Kasabov, Nikola

Feigin, Valery

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Springer

Abstract

Stroke is a major cause of disability and mortality in most economically developed countries that increasing global importance. Up till now, there is uncertainty regarding the effect of weather conditions on stoke occurrence. This paper is offering a comparative study of exploring associations between changes in ambient temperature and stroke occurrence using global and personalised modelling methods. Our study has explored weather conditions have significant impact on stroke occurrence. In addition, our experimental results show that the personalised modelling approach outperforms the global modelling approach.

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Keywords

Weather, Stoke occurrence, Personalised modelling, Global modelling, FaLK-SVM

Source

International Conference on Neural Information Processing (ICONIP) 2011, Shanghai, China, 2011-11-14 - 2011-11-17

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This is the Authors' Accepted Manuscript of a conference paper presented at ICONIP 2011. The published version is available from (see Publisher's version)

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