Influenza Prediction
Akshay George Koshy1, Yuvaana Sundarakrishnan2, K. P. Vijayakumar3
1Akshay George Koshy, Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
2Yuvaana Sundarakrishnan, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
3K. P. Vijayakumar, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India.
Manuscript received on 15 September 2019 | Revised Manuscript received on 23 September 2019 | Manuscript Published on 11 October 2019 | PP: 1120-1123 | Volume-8 Issue-11S September 2019 | Retrieval Number: K122709811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1227.09811S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The point of the undertaking is to foresee the spread of a plague by breaking down the conditions in the territories where individuals are influenced. The momentum focal point of the task is one specific pestilence ailment, Influenza, which is an irresistible illness brought about by introduction to the flu infection. The expectation will be finished by breaking down the spread dependent on the development of the infection through the populace. To achieve such a forecast, an administered learning model was utilized on the informational collection assembled. The calculation utilized is Random Forest Algorithm (RFA), which is basic and is typically utilized for arrangement and relapse.
Keywords: Random forest algorithm (RFA), Prediction model, Influenza,
Scope of the Article: Regression and Prediction