Affiliation:
1. M.S. Ramaiah Institute of Technology, India
Abstract
Today, technology plays a vital role in the healthcare industry. In the traditional way, physicians' minds were predicting the unknown disease based on their expertise and experience. Use of new technology like predictive analytics is transforming the healthcare industry. Predictive analytics in healthcare uses historical data (demographic information, person's past medical history and behaviors) to make predictions about the future. In this chapter, a predictive model is proposed to predict COVID-19 using prophet algorithm. A novel approach based on longitudinal data fusion approach will maintain temporal data from time to time. Sparse regularization regression uses data source and feature level to predict the spread of virus. The proposed model designed using longitudinal data fusion offers better clinical insights. Predictions will be very beneficial to government and healthcare groups to provoke suitable measures in controlling coronavirus. It is also beneficial to pharmaceutical companies to fabricate pills at a quicker rate.
Reference25 articles.
1. Prediction of COVID-19 pandemic measuring criteria using support vector machine, prophet and linear regression models in Indian scenario
2. COVID-19 Outbreak Prediction with Machine Learning
3. On the traveling salesman problem in nautical environments:An evolutionary computing approach to optimization of tourist route paths in Medulin, Croatia.;Pomorskizbornik,2019
4. The prevalence of antibodies to SARS-CoV-2 among blood donors in China
5. Predicting the Impact of Covid-19 Pandemic in India. In 2021 IEEE International IOT;N.Darapaneni;Electronics and Mechatronics Conference (IEMTRONICS),2021