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Published in:   Vol. 10 Issue 1 Date of Publication:   June 2021

Predicting Risk factor of Dengue using FP Growth Mining Technique

S.Vasanthanageswari,M. Vanitha

Page(s):   15-22 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.010.001.004 Publisher:   Integrated Intelligent Research (IIR)

Dengue is a debilitating malady which is caused by female mosquitoes chomp of Aedes mosquitoes. It is regularly found in hot areas. The dengue maladies mostly caused in 4 serotypes . A dengue malady grasp from gentle febrile malady to serious hemorrhagic fever. Anticipating the connection between serotypes of dengue and age of the people will help the biotechnologists and bioinformaticians to advance one stage to find solutions for dengue. Information Mining is a champion among the most completely and animating zones of research with the inspiration driving finding critical data from tremendous information accumulations . In Medical endeavors, Data Mining gives numerous purposes of enthusiasm, for instance, the area of the coercion in medicinal scope, sickness gauge, and availability of the helpful answer for the patients at bring down cost, acknowledgment of purposes behind disorders and recognizing verification of helpful treatment strategies. It is furthermore supportive to predict the risky diseases like Dengue fever, Cancer, Diabetes et cetera. In this Research work to reduce the death rate, the risk factors of the dengue are predicted using Association rule Mining