id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-035113-bhnv2qbi	Senapati, Apurbalal	A novel framework for COVID-19 case prediction through piecewise regression in India	2020-11-10		.txt	text/plain	2908	164	59	The linear regression model has been fitted into the dataset to deal with the total number of positive cases, and the number of recoveries for different states in India such as Maharashtra, West Bengal, Kerala, Delhi and Assam. Different types of COVID-19 related issues has been addressed in this study, with the help of the piecewise regression Model, such as total number of positive cases, and the number of recoveries for different states in India such as Maharashtra, West Bengal, Kerala, Delhi and Assam. In this section, we have discussed in details of our proposed scheme based linear regression model for prediction of the number of total confirmed cases, active positive cases, and recoveries. In this study, we have proposed the piecewise linear regression based machine learning approach for the prediction of actual positive cases and recovery cases of five different states in India.	./cache/cord-035113-bhnv2qbi.txt	./txt/cord-035113-bhnv2qbi.txt