Fuzzy association rule mining and classification for the prediction of malaria in South Korea

BMC Med. Inf. & Decision Making, Volume 15, Issue 1, 2015, Pages 47

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Keywords:
Malaria Prediction Association rule mining Fuzzy logic ClassificationMore(3+)

Abstract:

Malaria is the world’s most prevalent vector-borne disease. Accurate prediction of malaria outbreaks may lead to public health interventions that mitigate disease morbidity and mortality.

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