Design and Implementation of Realtime Detection of Dengue Using Machine Learning

R. Kamesh and N. Sivakumar (SG)

Dengue is a champion among the most notable viral afflictions in individuals. Over 33% of the all out masses of the world is under hazard, including numerous urban communities of India. An auspicious forecast of dengue can spare an individual's life by making them aware of take legitimate determination and care. Expectation of irresistible malady, for example, Dengue, is a difficult errand and the vast majority of the forecast strategies are still in their earliest stages. Microarray and RNA-Seq information have been broadly sent for creating a prescient model of different dengue. In this task, we propose to build up an AI model to foresee Dengue. We will take different AI classifiers running from basic classifiers, similar to Support Vector Machine, Logistic Regression. The calculation giving the most elevated forecast precision will be considered for the advancement of Dengue Prediction Tool. We additionally propose to build up a novel troupe classifier for Dengue episode expectation. GPS following also SMS API joining is incorporated to alarm closest to the ones about the state of the patient along these lines giving an effective model to dengue expectation.

Volume 12 | 05-Special Issue

Pages: 1013-1025

DOI: 10.5373/JARDCS/V12SP5/20201851