DocumentCode :
591747
Title :
Data mining approach to minimize child malnutrition in developing countries
Author :
Ariyadasa, S.N. ; Munasinghe, L.K. ; Senanayake, S.H.D. ; Fernando, N.A.S.
Author_Institution :
Sch. of Comput., Univ. of Colombo, Colombo, Sri Lanka
fYear :
2012
fDate :
12-15 Dec. 2012
Firstpage :
225
Lastpage :
225
Abstract :
Child malnutrition condition can be considered as a major health issue for a country since they are the future workforce which directly affect to the economic growth of the country. This impact is significant mainly in developing countries. This research is carried out with the purpose of reducing the prevalence of child malnutrition based on the Sri Lankan context with the analysis of the children under five years of age.
Keywords :
data mining; health care; macroeconomics; public administration; Sri Lankan context; child malnutrition condition; country economic growth; data mining approach; developing countries; health issue;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in ICT for Emerging Regions (ICTer), 2012 International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-5529-2
Type :
conf
DOI :
10.1109/ICTer.2012.6423030
Filename :
6423030
Link To Document :
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