What Can Data and Analytics Tell Us About COVID-19?

What Can Data and Analytics Tell Us About COVID-19?
Author: Soraya Sedkaoui, PhD
Publsiher: Elsevier
Total Pages: 250
Release: 2021-06
ISBN 10: 9780323810562
ISBN 13: 032381056X
Language: EN, FR, DE, ES & NL

What Can Data and Analytics Tell Us About COVID-19? Book Review:

Throughout history, data and analytics have had a profound impact on human health-including isolating the source of London's cholera epidemic in the 1850s and promotion of new routine practices such as hand washing following the Crimean War. What Can Data and Analytics Tell Us About COVID-19? explores the power of analytics to shed light on the novel coronavirus that has threatened the health and economic welfare of people across the globe. This text familiarizes readers with different concepts related to data science, big data technology, and the various applications of machine learning algorithms for analyzing the available data on the global problem related to COVID-19. Covers how different methods, techniques, and powerful tools of data science and machine learning can be utilized to analyze and understand COVID-19. Features chapters on machine learning algorithms and patterns for COVID-19, data visualization and COVID-19 geography, patterns of confirmed cases, and more. Includes ample case studies. Consolidates today's available information on this timely topic into a single, convenient resource.

Data Analytics for Pandemics

Data Analytics for Pandemics
Author: Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey
Publsiher: CRC Press
Total Pages: 68
Release: 2020-08-30
ISBN 10: 1000204413
ISBN 13: 9781000204414
Language: EN, FR, DE, ES & NL

Data Analytics for Pandemics Book Review:

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.

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
Author: Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Publsiher: Springer Nature
Total Pages: 307
Release: 2020-11-13
ISBN 10: 3030552586
ISBN 13: 9783030552589
Language: EN, FR, DE, ES & NL

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach Book Review:

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics
Author: Patil, Bhushan,Vohra, Manisha
Publsiher: IGI Global
Total Pages: 583
Release: 2020-10-23
ISBN 10: 1799830543
ISBN 13: 9781799830542
Language: EN, FR, DE, ES & NL

Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics Book Review:

Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a collection of innovative research on the methods and applications of data analytics. While highlighting topics including artificial intelligence, data security, and information systems, this book is ideally designed for researchers, data analysts, data scientists, healthcare administrators, executives, managers, engineers, IT consultants, academicians, and students interested in the potential of data application technologies.

Data Analytics for Coronavirus Disease (COVID-19) Outbreak

Data Analytics for Coronavirus Disease (COVID-19) Outbreak
Author: Gitanjali Rahul Shinde
Publsiher: Anonim
Total Pages: 329
Release: 2020-11
ISBN 10: 9780367564957
ISBN 13: 0367564955
Language: EN, FR, DE, ES & NL

Data Analytics for Coronavirus Disease (COVID-19) Outbreak Book Review:

"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"--

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis
Author: Khalid Raza
Publsiher: Springer Nature
Total Pages: 329
Release:
ISBN 10: 9811585342
ISBN 13: 9789811585340
Language: EN, FR, DE, ES & NL

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis Book Review:

Intelligent Systems and Methods to Combat Covid-19

Intelligent Systems and Methods to Combat Covid-19
Author: Amit Joshi
Publsiher: Springer Nature
Total Pages: 329
Release:
ISBN 10: 9811565724
ISBN 13: 9789811565724
Language: EN, FR, DE, ES & NL

Intelligent Systems and Methods to Combat Covid-19 Book Review:

Data Analytics for Pandemics

Data Analytics for Pandemics
Author: Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey
Publsiher: CRC Press
Total Pages: 68
Release: 2020-08-30
ISBN 10: 1000204413
ISBN 13: 9781000204414
Language: EN, FR, DE, ES & NL

Data Analytics for Pandemics Book Review:

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.

Coronavirus: Leadership and Recovery: The Insights You Need from Harvard Business Review

Coronavirus: Leadership and Recovery: The Insights You Need from Harvard Business Review
Author: Harvard Business Review
Publsiher: Harvard Business Press
Total Pages: 192
Release: 2020-07-28
ISBN 10: 1647820502
ISBN 13: 9781647820503
Language: EN, FR, DE, ES & NL

Coronavirus: Leadership and Recovery: The Insights You Need from Harvard Business Review Book Review:

Lead through the crisis and prepare for recovery. As the Covid-19 pandemic is exacting its toll on the global economy, forward-looking organizations are moving past crisis management and positioning themselves to leap ahead when the worst is over. What should you and your organization be doing now to address today's unprecedented challenges while laying the foundation needed to emerge stronger? Coronavirus: Leadership and Recovery provides you with essential thinking about managing your company through the pandemic, keeping your employees (and yourself) healthy and productive, and spurring your business to continue innovating and reinventing itself ahead of the recovery. Business is changing. Will you adapt or be left behind? Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow. You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.

Learning Spark

Learning Spark
Author: Jules S. Damji,Brooke Wenig,Tathagata Das,Denny Lee
Publsiher: O'Reilly Media
Total Pages: 400
Release: 2020-07-16
ISBN 10: 1492050016
ISBN 13: 9781492050018
Language: EN, FR, DE, ES & NL

Learning Spark Book Review:

Data is bigger, arrives faster, and comes in a variety of formats—and it all needs to be processed at scale for analytics or machine learning. But how can you process such varied workloads efficiently? Enter Apache Spark. Updated to include Spark 3.0, this second edition shows data engineers and data scientists why structure and unification in Spark matters. Specifically, this book explains how to perform simple and complex data analytics and employ machine learning algorithms. Through step-by-step walk-throughs, code snippets, and notebooks, you’ll be able to: Learn Python, SQL, Scala, or Java high-level Structured APIs Understand Spark operations and SQL Engine Inspect, tune, and debug Spark operations with Spark configurations and Spark UI Connect to data sources: JSON, Parquet, CSV, Avro, ORC, Hive, S3, or Kafka Perform analytics on batch and streaming data using Structured Streaming Build reliable data pipelines with open source Delta Lake and Spark Develop machine learning pipelines with MLlib and productionize models using MLflow

People Analytics

People Analytics
Author: Ben Waber
Publsiher: FT Press
Total Pages: 240
Release: 2013-04-24
ISBN 10: 0133158330
ISBN 13: 9780133158335
Language: EN, FR, DE, ES & NL

People Analytics Book Review:

Discover powerful hidden social "levers" and networks within your company… then, use that knowledge to make slight "tweaks" that dramatically improve both business performance and employee fulfillment! In People Analytics, MIT Media Lab innovator Ben Waber shows how sensors and analytics can give you an unprecedented understanding of how your people work and collaborate, and actionable insights for building a more effective, productive, and positive organization. Through cutting-edge case studies, Waber shows how: Changing the way call center employees spent their breaks increased performance by 25% while significantly reducing stress Quantifying the failure of marketing and customer service to communicate led to a more cohesive and profitable organization Tweaking the balance of in-person and electronic communication can enhance the value of both Sensor data can help you discover who your internal experts really are Identifying employees involved in "creative" behaviors can help you promote innovation throughout your business Sensors and simulations can help you optimize your sick-day policies Measuring informal interactions can improve the chances that a merger, acquisition, or "mega-project" will succeed Drawing on his cutting-edge work at MIT and Harvard, Waber addresses crucial issues ranging from technology to privacy, revealing what will be possible in a few years, and what you can achieve right now. In bringing the power of analytics to organizational development, he offers immense new opportunities to everyone with responsibility for workplace performance.

Tech Trends in Practice

Tech Trends in Practice
Author: Bernard Marr
Publsiher: John Wiley & Sons
Total Pages: 304
Release: 2020-04-09
ISBN 10: 1119646200
ISBN 13: 9781119646204
Language: EN, FR, DE, ES & NL

Tech Trends in Practice Book Review:

Discover how 25 powerful technology trends are transforming 21st century businesses How will the latest technologies transform your business? Future Tech Trends in Practice will give you the knowledge of today’s most important technology trends, and how to take full advantage of them to grow your business. The book presents25 real-world technology trends along with their potential contributions to organisational success. You’ll learn how to integrate existing advancements and plan for those that are on the way. In this book, best-selling author, strategic business advisor, and respected futurist Bernard Marr explains the role of technology in providing innovative businesses solutions for companies of varying sizes and across different industries. He covers wide-ranging trends and provides an overview of how companies are using these new and emerging technologies in practice. You, too, can prepare your company for the potential and power of trending technology by examining these and other areas of innovation described in Future Tech Trends in Practice: Artificial intelligence, including machine and deep learning The Internet of Things and the rise of smart devices Self-driving cars and autonomous drones 3D printing and additive manufacturing Blockchain technology Genomics and gene editing Augmented, virtual and mixed reality When you understand the technology trends that are driving success, now and into the future, you’ll be better positioned to address and solve problems within your organisation.

Everybody Lies

Everybody Lies
Author: Seth Stephens-Davidowitz
Publsiher: Bloomsbury Publishing
Total Pages: 352
Release: 2017-05-29
ISBN 10: 1408894696
ISBN 13: 9781408894699
Language: EN, FR, DE, ES & NL

Everybody Lies Book Review:

THE NEW YORK TIMES BESTSELLER AN ECONOMIST BOOK OF THE YEAR A NEW STATESMAN BOOK OF THE YEAR 'This book is about a whole new way of studying the mind ... Endlessly fascinating' Steven Pinker 'A whirlwind tour of the modern human psyche' Economist Everybody lies, to friends, lovers, doctors, pollsters – and to themselves. In Internet searches, however, people confess the truth. Insightful, funny and always surprising, Everybody Lies explores how this huge collection of data, unprecedented in human history, could just be the most important ever collected. It offers astonishing insights into the human psyche, revealing the biases deeply embedded within us, the questions we're afraid to ask that might be essential to our well-being, and the information we can use to change our culture for the better.

Information is Beautiful

Information is Beautiful
Author: David McCandless
Publsiher: Collins Publishers
Total Pages: 255
Release: 2012
ISBN 10: 9780007492893
ISBN 13: 0007492898
Language: EN, FR, DE, ES & NL

Information is Beautiful Book Review:

A visual guide to the way the world really works Every day, every hour, every minute we are bombarded by information - from television, from newspapers, from the internet, we're steeped in it, maybe even lost in it. We need a new way to relate to it, to discover the beauty and the fun of information for information's sake. No dry facts, theories or statistics. Instead, Information is Beautiful contains visually stunning displays of information that blend the facts with their connections, their context and their relationships - making information meaningful, entertaining and beautiful. This is information like you have never seen it before - keeping text to a minimum and using unique visuals that offer a blueprint of modern life - a map of beautiful colour illustrations that are tactile to hold and easy to flick through but intriguing and engaging enough to study for hours.

A General Introduction to Data Analytics

A General Introduction to Data Analytics
Author: João Moreira,Andre Carvalho,Tomás Horvath
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2018-07-02
ISBN 10: 1119296250
ISBN 13: 9781119296256
Language: EN, FR, DE, ES & NL

A General Introduction to Data Analytics Book Review:

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms.

Big Data Analytics and Intelligence

Big Data Analytics and Intelligence
Author: Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal
Publsiher: Emerald Group Publishing
Total Pages: 392
Release: 2020-09-30
ISBN 10: 1839090995
ISBN 13: 9781839090998
Language: EN, FR, DE, ES & NL

Big Data Analytics and Intelligence Book Review:

Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.

Artificial Intelligence in Practice

Artificial Intelligence in Practice
Author: Bernard Marr
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2019-04-15
ISBN 10: 1119548985
ISBN 13: 9781119548980
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Practice Book Review:

Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Internet of Medical Things for Smart Healthcare

Internet of Medical Things for Smart Healthcare
Author: Chinmay Chakraborty,Amit Banerjee,Lalit Garg,Joel J. P. C. Rodrigues
Publsiher: Springer Nature
Total Pages: 305
Release: 2020-12-11
ISBN 10: 9811580979
ISBN 13: 9789811580970
Language: EN, FR, DE, ES & NL

Internet of Medical Things for Smart Healthcare Book Review:

This book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic.

Artificial Intelligence for Coronavirus Outbreak

Artificial Intelligence for Coronavirus Outbreak
Author: Simon James Fong
Publsiher: Springer Nature
Total Pages: 329
Release:
ISBN 10: 9811559368
ISBN 13: 9789811559365
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Coronavirus Outbreak Book Review:

The Importance of Health Informatics in Public Health during a Pandemic

The Importance of Health Informatics in Public Health during a Pandemic
Author: J. Mantas,A. Hasman,M.S. Househ
Publsiher: IOS Press
Total Pages: 520
Release: 2020-07-24
ISBN 10: 1643680935
ISBN 13: 9781643680934
Language: EN, FR, DE, ES & NL

The Importance of Health Informatics in Public Health during a Pandemic Book Review:

The COVID-19 pandemic has increased the focus on health informatics and healthcare technology for policy makers and healthcare professionals worldwide. This book contains the 110 papers (from 160 submissions) accepted for the 18th annual International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH 2020), held virtually in Athens, Greece, from 3 – 5 July 2020. The conference attracts scientists working in the field of Biomedical and Health Informatics from all continents, and this year it was held as a Virtual Conference, by means of teleconferencing, due to the COVID-19 pandemic and the consequent lockdown in many countries around the world. The call for papers for the conference started in December 2019, when signs of the new virus infection were not yet evident, so early submissions were on the usual topics as announced. But papers submitted after mid-March were mostly focused on the first results of the pandemic analysis with respect to informatics in different countries and with different perspectives of the spread of the virus and its influence on public health across the world. This book therefore includes papers on the topic of the COVID-19 pandemic in relation to informatics reporting from hospitals and institutions from around the world, including South Korea, Europe, and the USA. The book encompasses the field of biomedical and health informatics in a very broad framework, and the timely inclusion of papers on the current pandemic will make it of particular interest to all those involved in the provision of healthcare everywhere.