[PDF][PDF] Predicting Risk factor of Dengue using FP-Growth Mining Technique

S Vasanthanageswari, M Vanitha - ijdmta.com
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 …

[PDF][PDF] Dengue fever prediction: A data mining problem

K Shaukat, N Masood, S Mehreen… - Journal of Data Mining …, 2015 - researchgate.net
Dengue infection is vital disease caused by dengue germ, which extent in body of human by
female mosquito [1]. With indications of headache, retro orbital pain, joint-pain, muscular …

Learning of high dengue incidence with clustering and fp-growth algorithm using who historical data

FSV Dizon, SKR Farinas, RJTH Mahinay Jr… - arXiv preprint arXiv …, 2019 - arxiv.org
This paper applies FP-Growth algorithm in mining fuzzy association rules for a prediction
system of dengue. The system mines its rules through input of historic predictor variables for …

A Data Mining based study on Dengue Fever: A Review

K Bhattacharya, AK Chaudhuri, A Das… - … Research Journal on …, 2022 - rspsciencehub.com
Dengue fever (DF) is amosquitoborne disease spread by female Aedes mosquito. Dengue
transmission depends on the changing of climatic parameters like temperature, humidity …

[PDF][PDF] Factors to Predict Dengue Fever using Data Mining Techniques: A Review

B Sundari, M Krishnamoorthy - Int. J. Sci. Res. Eng. Dev, 2019 - researchgate.net
Dengue fever is a virus infection which is caused by female Aedes mosquitoes. It is mostly
found in urban and suburban areas, as they like to breed in man-made containers like tires …

[PDF][PDF] Expert System to Predict the Type of Fever Using Data Mining Techniques on Medical Databases

MVJ Reddy, B Kavitha - International Journal of Computer Science …, 2015 - researchgate.net
2015 Revised: Aug/28/2015 Accepted: Sep/20/2015 Published: Sep/30/2015 Abstract----By
finding the most important medical symptoms and laboratory data helps in building an expert …

[PDF][PDF] A Competent Approach to Predict Dengue Diseases using a Hybrid Approach in Machine Learning algorithm

RV Sai, S Keerthana, S Madhiarasi, S Preethi - academia.edu
In this paper, we have a tendency to describe regarding the unwellness disease prediction
by means that of feature choice for the info inheritable from the University of California Irvine …

Expert System for Dengue Fever Prediction (ESDFP)

AN Boruah, SK Biswas, P Baishya… - 2021 IEEE 2nd …, 2021 - ieeexplore.ieee.org
Dengue is one of the most speedily increasing and an important public health issue in
tropical and subtropical regions which sometimes causes continual epidemics. The general …

GNAT: GENETIC NEURAL NETWORK ANALYTIC TOOL APPLICATION OF GENETIC ALGORITHM OPTIMIZED ARTIFICIAL NEURAL NETWORK FOR THE MEDICAL …

MLO Palomo - 2013 - dspace.cas.upm.edu.ph
Dengue fever is the most rapidly spreading mosquito-borne viral disease in the world. An
estimated 50 million dengue infections occur annually and approximately 2.5 billion people …

Dengue Diseases Prediction Using SMO Classification

K Nithya, R Anandhasre, D Anusuya… - South Asian Journal of …, 2019 - sajet.in
The point of this work is to analyze the execution of various grouping procedures. A dengue
malady can make extreme harms the general public. Consequently, it is basic to foresee a …