Data Analytics for Pandemics

This book PDF is perfect for those who love Computers genre, written by Gitanjali Rahul Shinde and published by CRC Press which was released on 30 August 2020 with total hardcover pages 68. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Data Analytics for Pandemics books below.

Data Analytics for Pandemics
Author : Gitanjali Rahul Shinde
File Size : 43,7 Mb
Publisher : CRC Press
Language : English
Release Date : 30 August 2020
ISBN : 9781000204414
Pages : 68 pages
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Data Analytics for Pandemics by Gitanjali Rahul Shinde Book PDF 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 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.

Data Analytics for Pandemics

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

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