Data Analytics for Pandemics A COVID-19 Case Study

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-...

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Bibliographic Details
Main Authors:	Shinde, Gitanjali Rahul, Kalamkar, Asmita Balasaheb, Mahalle, Parikshit N., Dey, Nilanjan
Format:	eBook Book
Language:	English
Published:	Boca Raton, Fla CRC Press 2021 Taylor & Francis Group
Edition:	1
Series:	Intelligent Signal Processing and Data Analysis
Subjects:	Big Data big data analytics BIOMEDICALSCIENCEnetBASE BIOSCIENCEnetBASE COMPUTERSCIENCEnetBASE COVID-19 COVID-19 (Disease) COVID-19 (Disease) > Data processing COVID-19 (Disease) > Forecasting COVID-19 (Disease) > Statistical methods Data Preparation & Mining Data Processing epidemic trend analysis Epidemiology Infectious Diseases INFORMATIONSCIENCEnetBASE Knowledge Extraction Mitigation Pandemic Prediction SCI-TECHnetBASE Statistical methods STATSnetBASE STMnetBASE timeline progression Object Storage Infant Feeding Options Big Data Analytics Cluster Transmission Data Preprocessing Amazon S3 ASOS Pregnant Ladies Ml Model NTT Cloud Platforms Semi-supervised Learning Hybrid Neural Network Models Block Storage Data Preprocessing Techniques Knowledge Extraction Object Storage Service Community Mitigation Big Data NTT DOCOMO Situational Awareness Storage Service Big Data Tools Data Cleaning Tools MERS
ISBN:	0367558467, 9780367564957, 0367564955, 9780367558468
Online Access:	Get full text
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