Comparison of Recent Data Mining Algorithms to Identify of the factors and effects of Dengue Fever and Ensemble Random Forest, A new Algorithm
DOI:
https://doi.org/10.47392/irjash.2022.034Keywords:
Dengue, AdaBoost, Ensemble, Random Forest, SVM, RUC AUCAbstract
The disease dengue has created panic in the minds of men and women of this time. Nowadays, the menace of dengue has spread from urban areas to rural areas. It heavily affects body organs and can lead to the final state of death. Even after recovery, it can continue to affect human organs for some years. This disease persists in the human body. Dengue is no longer confined to congested urban areas only; it has broken out in full swing in rural areas as well. Our aim is to identify the factors that are the causes of the origin of dengue and its spread over society on such a large scale. It is also our aim to find the areas of society on which consistent efforts will help to confine or diminish its effect to the lowest level possible. Information is collected through a random survey, especially from people in dengue-affected areas using the Questionnaire Method. Intelligence is also gathered from hospitals and the internet to collect data that help indicate factors that play a significant role in different situations in society. We reach conclusions by analyzing past experiments, information, and present data.
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