• Dr. Indu Pal

The COVID-19 pandemic has had a significant impact on the world, and the development of accurate prediction models has been crucial in managing the spread of the virus and planning for necessary medical resources. Machine learning and mathematical modeling have played an important role in structuring these prediction models by preprocessing and analyzing data, selecting and training models, and evaluating their performance. Some common machine learning algorithms and mathematical equations used for COVID-19 prediction models include the SEIR model, ARIMA, and random forest regression. By leveraging the power of machine learning and mathematics, researchers and healthcare professionals have been able to create accurate predictions of COVID-19 cases and plan for the necessary resources to manage the pandemic. Moving forward, the use of machine learning and mathematics will continue to be an important tool in managing pandemics and mitigating their impact.

COVID-19, SEIR model, prediction models

"Use of Machine leaning and mathematic for Structuring of Prediction Model: A Special Reference to Covid19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 1, page no.g46-g51, January-2023, Available :http://www.jetir.org/papers/JETIR2301606.pdf

"Use of Machine leaning and mathematic for Structuring of Prediction Model: A Special Reference to Covid19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 1, page no. ppg46-g51, January-2023, Available at : http://www.jetir.org/papers/JETIR2301606.pdf