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DATA ANALYTICS FOR PANDEMICS : A COVID -19 Case Study / Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit Narendra Mahalle, Nilanjan Dey.

By: Contributor(s): Series: CRC Focus Series | Intelligent signal processing and data analysisPublisher: Boca Raton, FL : CRC Press, 2021Copyright date: ©2021Description: xv, 68 pages : 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780367558468
Subject(s): DDC classification:
  • 23 616.24140727
Summary: "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-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies" Provided by publisher.
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Holdings
Item type Current library Collection Shelving location Call number Status Barcode
Book Perpustakaan Alor Setar RFID Rujukan Dewasa R 616.24140727 SHI (Browse shelf(Opens below)) Not For Loan A01686751
Book Perpustakaan Awam Sungai Petani Rujukan Dewasa R 616.24140727 SHI (Browse shelf(Opens below)) Not For Loan A01686752

Includes bibliographical references and index.

"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-19 which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussion on data models, their performance, different Big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies" Provided by publisher.

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