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Prediction of paediatric asthma hospitalisation using data mining techniques
conference contribution
posted on 2008-01-01, 00:00 authored by S Schmidt, Gang LiGang Li, Yi-Ping Phoebe ChenResearch into the prevalence of hospitalisation among childhood asthma cases is undertaken, using a data set local to the Barwon region of Victoria. Participants were the parents/guardians on behalf of children aged between 5-11 years. Various data mining techniques are used, including segmentation, association and classification to assist in predicting and exploring the instances of childhood hospitalisation due to asthma. Results from this study indicate that children in inner city and metropolitan areas may overutilise emergency department services. In addition, this study found that the prediction of hospitalisaion for asthma in children was greater for those with a written asthma management plan.
History
Event
Pattern Recognition in Bioinformatics. Conference (3rd : 2008 : Melbourne, Vic)Publisher
Springer Berlin / HeidelbergLocation
Melbourne, Vic.Place of publication
Berlin, GermanyStart date
2008-10-15End date
2008-10-17ISSN
0302-9743ISBN-13
9780732622268ISBN-10
3540884343Language
engPublication classification
E1 Full written paper - refereed; E Conference publicationEditor/Contributor(s)
M Chetty, S Ahmad, A Ngom, S TengTitle of proceedings
PRIB 2008 : The 3rd IAPR International Conference on Pattern Recognition in BioInformaticsUsage metrics
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