IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

COVID-19 Spread Prediction Using Prophet and Data Fusion Algorithm

COVID-19 Spread Prediction Using Prophet and Data Fusion Algorithm
View Sample PDF
Author(s): Sangeetha V. (M.S. Ramaiah Institute of Technology, India), Evangeline D. (M.S. Ramaiah Institute of Technology, India)and Sinthuja M. (M.S. Ramaiah Institute of Technology, India)
Copyright: 2022
Pages: 16
Source title: Deep Learning Applications for Cyber-Physical Systems
Source Author(s)/Editor(s): Monica R. Mundada (M.S. Ramaiah Institute of Technology, India), S. Seema (M.S. Ramaiah Institute of Technology, India), Srinivasa K.G. (National Institute of Technical Teachers Training and Research, Chandigarh, India)and M. Shilpa (M.S. Ramaiah Institute of Technology, India)
DOI: 10.4018/978-1-7998-8161-2.ch001

Purchase

View COVID-19 Spread Prediction Using Prophet and Data Fusion Algorithm on the publisher's website for pricing and purchasing information.

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.

Related Content

Preethi, Sapna R., Mohammed Mujeer Ulla. © 2023. 16 pages.
Srividya P.. © 2023. 12 pages.
Preeti Sahu. © 2023. 15 pages.
Vandana Niranjan. © 2023. 23 pages.
S. Darwin, E. Fantin Irudaya Raj, M. Appadurai, M. Chithambara Thanu. © 2023. 33 pages.
Shankara Murthy H. M., Niranjana Rai, Ramakrishna N. Hegde. © 2023. 23 pages.
Jothimani K., Bhagya Jyothi K. L.. © 2023. 19 pages.
Body Bottom