Analysis of Covid-19 (India) Using Machine Learning Algorithms
Prof. S.B. Nikam, Akhil Aditya, Tanish Jain, Yashraj Tandon
COVID, Machine Learning
In light of recent events, such as the coronavirus pandemic, prediction algorithms based on machine learning (ML) have proven effective in predicting perioperative outcomes and improving decision-making in the future. Machine learning models have long been used in many application areas that need to detect and prioritize negative threat characteristics. Typically, a variety of forecasting methods are used to address forecasting problems. This study shows how machine learning algorithms can predict the number of patients who will be infected by COVID19, a virus that is now considered a possible threat to humans. In this study, the following predictive model are used to predict COVID19 risk factors: Linear Regression, Exponential Time Smoothing, Autoregressive Integrated Moving Average (ARIMA). The results of the study indicate that these strategies are a viable option in the current COVID19 pandemic.
Article Details
Unique Paper ID: 152525

Publication Volume & Issue: Volume 8, Issue 3

Page(s): 676 - 681
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Volume 8 Issue 4

Last Date 25 September 2021

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