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Books > Medicine > Clinical & internal medicine > Diseases & disorders > Infectious & contagious diseases

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Data Analytics for Pandemics - A COVID-19 Case Study (Hardcover) Loot Price: R1,766
Discovery Miles 17 660
Data Analytics for Pandemics - A COVID-19 Case Study (Hardcover): Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit...

Data Analytics for Pandemics - A COVID-19 Case Study (Hardcover)

Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, Nilanjan Dey

Series: Intelligent Signal Processing and Data Analysis

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Loot Price R1,766 Discovery Miles 17 660 | Repayment Terms: R166 pm x 12*

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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 discussions 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. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Intelligent Signal Processing and Data Analysis
Release date: August 2020
First published: 2021
Authors: Gitanjali Rahul Shinde • Asmita Balasaheb Kalamkar • Parikshit N. Mahalle • Nilanjan Dey
Dimensions: 216 x 138 x 11mm (L x W x T)
Format: Hardcover
Pages: 68
ISBN-13: 978-0-367-55846-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Biology, life sciences > General
Books > Computing & IT > General theory of computing > General
Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
Books > Computing & IT > Applications of computing > Databases > General
Books > Medicine > Clinical & internal medicine > Diseases & disorders > Infectious & contagious diseases > General
LSN: 0-367-55846-7
Barcode: 9780367558468

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