Background Traditionally, dengue surveillance is based on case reporting to a central health
agency. However, the delay between a case and its notification can limit the system …

Dengue is the most common viral fever for the people. This is also known as life-threatening
disease. Dengue has become more and more evident this year in Bangladesh. It has taken …

Dengue fever (DF) and the potentially fatal dengue haemorrhagic fever (DHF) are continue
to be a crucial public health concern in Malaysia. This paper proposes a prediction model …

In a competitive digital age where data volumes are increasing with time, the ability to extract
meaningful knowledge from high-dimensional data using machine learning (ML) and data …

Background Epidemics of the dengue virus can trigger widespread morbidity and mortality
along with no specific treatment. Examining the spatial autocorrelation and variability of …

Data mining techniques are extremely popular in the healthcare industry. The popularity
arises from their flexibility, ability to provide reliable results and the absence of restriction on …

The aim of this research is to analyse the performance of six different classifiers, which are-
Nearest Neighbours (kNN), Naive Bayes, Random Tree, J48 Decision Tree, Random Forest …

Dengue virus is a growing problem in tropical countries. It serves disease, especially in
children. Some exiting clinical methods CIMSiM, DENSiM, ELISA, SPSS, SARIMA, PCR and …

Approche de prédiction par télésurveillance à base de Data Mining Page 1 REPUBLIQUE
ALGERIENNE DEMOCRATIQUE ET POPULAIRE Ministère de l’Enseignement Supérieur et …

Abstract Demam Berdarah Dengue (DBD) merupakan salah satu penyakit epidemik.
Kabupaten Karawang merupakan salah satu daerah endemis Demam Berdarah Dengue …