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

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aut.researcherHu, Yingjie
dc.contributor.authorHu, Y
dc.contributor.authorLiang, W
dc.contributor.authorKasabov, N
dc.contributor.authorFeigin, V
dc.contributor.editorLu, B
dc.date.accessioned2011-08-09T03:05:23Z
dc.date.available2011-08-09T03:05:23Z
dc.date.copyright2011-12-01
dc.date.issued2011-12-01
dc.description.abstractStroke 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.
dc.identifier.citationICONIP 2011, Shanghai, China, 2011-11-14 - 2011-11-17
dc.identifier.urihttps://hdl.handle.net/10292/1662
dc.publisherSpringer
dc.rightsThe original publication is available at http://www.springerlink.com.
dc.rights.accessrightsOpenAccess
dc.subjectWeather
dc.subjectStoke occurrence
dc.subjectPersonalised modelling
dc.subjectGlobal modelling
dc.subjectFaLK-SVM
dc.titleExploring associations between changes in ambient temperature and stroke occurrence: comparative analysis using global and personalised modelling methods
dc.typeConference Contribution
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers/DCT Kedri
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