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