Exploring associations between changes in ambient temperature and stroke occurrence: comparative analysis using global and personalised modelling approaches

Authors:
Wen Liang;Yingjie Hu;Nikola Kasabov;Valery Feigin
Affiliations:
Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand;Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand;Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand;Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand
Venue:
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Year:
2011

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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.