A Data Mining based study on Dengue Fever: A Review

Abstract

Dengue fever (DF) is amosquitoborne disease spread by female Aedes mosquito. Dengue transmission depends on the changing of climatic parameters like temperature, humidity, rainfall, as well as the congestion in an area, i.e., where the population density is high. In this review, we have highlighted the reasons of the occurrence of DF and methods for early detection of the same. Symptoms are the key points to diagnose the dengue patients. Many diseases like Malaria, Chikungunia, Typhoid, COVID-19, etc. have the common symptoms of fever, body pain, eye pain, diarrhoea, etc. Few rare symptoms have been identified for diagnosing DF using machine learning predictive model. Rare symptoms are skin disease, headache, abdominal pain for early detection of dengue.