Applied Big Data Analytics And Its Role In Covid 19 Research

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Applied Big Data Analytics and Its Role in COVID-19 Research

Zhao, Peng,Chen, Xi
Applied Big Data Analytics and Its Role in COVID 19 Research Book PDF

Author : Zhao, Peng,Chen, Xi
Publisher : IGI Global
Page : 349 pages
File Size : 47,9 Mb
Release : 2022-04-29
Category : Computers
ISBN : 9781799887959

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Applied Big Data Analytics and Its Role in COVID-19 Research by Zhao, Peng,Chen, Xi Pdf

There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.

Data Analytics for Pandemics

Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey
Data Analytics for Pandemics Book PDF

Author : Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey
Publisher : CRC Press
Page : 68 pages
File Size : 42,5 Mb
Release : 2020-08-30
Category : Computers
ISBN : 9781000204414

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Data Analytics for Pandemics by Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey Pdf

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

Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach Book PDF

Author : Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Publisher : Springer Nature
Page : 307 pages
File Size : 41,7 Mb
Release : 2020-10-12
Category : Computers
ISBN : 9783030552589

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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach by Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy Pdf

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.

Artificial Intelligence for COVID-19

Diego Oliva,Said Ali Hassan,Ali Mohamed
Artificial Intelligence for COVID 19 Book PDF

Author : Diego Oliva,Said Ali Hassan,Ali Mohamed
Publisher : Springer Nature
Page : 594 pages
File Size : 53,6 Mb
Release : 2021-07-19
Category : Technology & Engineering
ISBN : 9783030697440

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Artificial Intelligence for COVID-19 by Diego Oliva,Said Ali Hassan,Ali Mohamed Pdf

This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Intelligent Data Analysis for COVID-19 Pandemic

M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar
Intelligent Data Analysis for COVID 19 Pandemic Book PDF

Author : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar
Publisher : Springer Nature
Page : 370 pages
File Size : 47,6 Mb
Release : 2021-06-22
Category : Technology & Engineering
ISBN : 9789811615740

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Intelligent Data Analysis for COVID-19 Pandemic by M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar Pdf

This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Handbook of Research on Driving Socioeconomic Development With Big Data

Sun, Zhaohao
Handbook of Research on Driving Socioeconomic Development With Big Data Book PDF

Author : Sun, Zhaohao
Publisher : IGI Global
Page : 449 pages
File Size : 55,7 Mb
Release : 2023-02-24
Category : Business & Economics
ISBN : 9781668459614

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Handbook of Research on Driving Socioeconomic Development With Big Data by Sun, Zhaohao Pdf

Socioeconomic development has drawn increasing attention in academia, industries, and governments. The relationship between big data and its technologies and socioeconomic development has drawn certain attention in academia. Socioeconomic development depends not only on big data, but also on big data technologies. However, the relationship between big data and socioeconomic development is not adequately covered in current research. The Handbook of Research on Driving Socioeconomic Development With Big Data provides an original and innovative understanding of and insight into how the proposed theories, technologies, and methodologies of big data can improve socioeconomic development and sustainable development in terms of business and services, healthcare, the internet of everything, sharing economy, and more. Covering topics such as corporate social responsibility, management applications, and process mining, this major reference work is an excellent resource for data scientists, business leaders and executives, IT professionals, government officials, economists, sociologists, librarians, students, researchers, and academicians.

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

Khalid Raza
Computational Intelligence Methods in COVID 19 Surveillance Prevention Prediction and Diagnosis Book PDF

Author : Khalid Raza
Publisher : Springer Nature
Page : 436 pages
File Size : 49,7 Mb
Release : 2020-10-16
Category : Technology & Engineering
ISBN : 9789811585340

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Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis by Khalid Raza Pdf

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

Epidemic Analytics for Decision Supports in COVID19 Crisis

Joao Alexandre Lobo Marques,Simon James Fong
Epidemic Analytics for Decision Supports in COVID19 Crisis Book PDF

Author : Joao Alexandre Lobo Marques,Simon James Fong
Publisher : Springer Nature
Page : 161 pages
File Size : 46,6 Mb
Release : 2022-05-20
Category : Technology & Engineering
ISBN : 9783030952815

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Epidemic Analytics for Decision Supports in COVID19 Crisis by Joao Alexandre Lobo Marques,Simon James Fong Pdf

Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations. Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.

Data Analytics for Coronavirus Disease (COVID-19) Outbreak

Gitanjali Rahul Shinde
Data Analytics for Coronavirus Disease COVID 19 Outbreak Book PDF

Author : Gitanjali Rahul Shinde
Publisher : Unknown
Page : 128 pages
File Size : 51,8 Mb
Release : 2020-11
Category : Big data
ISBN : 0367564955

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Data Analytics for Coronavirus Disease (COVID-19) Outbreak by Gitanjali Rahul Shinde Pdf

"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"--

Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education

Broumi, Said
Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education Book PDF

Author : Broumi, Said
Publisher : IGI Global
Page : 386 pages
File Size : 52,6 Mb
Release : 2023-06-09
Category : Mathematics
ISBN : 9781668478370

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Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education by Broumi, Said Pdf

Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods for making decisions. However, only a small number of research findings discuss how neutrosophic sets theory and their extensions (NSTEs) are used in education. The Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education implements fresh scientific approaches to enhance the quality of decisions under neutrosophic environments, particularly within education. Covering key topics such as data modeling, educational technologies, decision making, and learning management systems, this major reference work is ideal for instructional designers, researchers, academicians, scholars, practitioners, instructors, and students.

Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities

Pramanik, Sabyasachi,Sagayam, K. Martin
Handbook of Research on Data Driven Mathematical Modeling in Smart Cities Book PDF

Author : Pramanik, Sabyasachi,Sagayam, K. Martin
Publisher : IGI Global
Page : 499 pages
File Size : 52,8 Mb
Release : 2023-02-17
Category : Mathematics
ISBN : 9781668464106

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Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities by Pramanik, Sabyasachi,Sagayam, K. Martin Pdf

A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens’ standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.

Data Science for COVID-19 Volume 1

Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Data Science for COVID 19 Volume 1 Book PDF

Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publisher : Academic Press
Page : 754 pages
File Size : 46,9 Mb
Release : 2021-05-20
Category : Science
ISBN : 9780128245378

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Data Science for COVID-19 Volume 1 by Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna Pdf

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions

Advancements in Quantum Blockchain With Real-Time Applications

Shrivas, Mahendra Kumar,Hiran, Kamal Kant,Bhansali, Ashok,Doshi, Ruchi
Advancements in Quantum Blockchain With Real Time Applications Book PDF

Author : Shrivas, Mahendra Kumar,Hiran, Kamal Kant,Bhansali, Ashok,Doshi, Ruchi
Publisher : IGI Global
Page : 332 pages
File Size : 54,8 Mb
Release : 2022-06-30
Category : Computers
ISBN : 9781668450741

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Advancements in Quantum Blockchain With Real-Time Applications by Shrivas, Mahendra Kumar,Hiran, Kamal Kant,Bhansali, Ashok,Doshi, Ruchi Pdf

The amalgamation of post-quantum cryptography in cyber-physical systems makes the computing system secure and also generates opportunities in areas like smart contracts, quantum blockchain, and smart security solutions. Sooner or later, all computing and security systems are going to adopt quantum-proof cryptography to safeguard these systems from quantum attacks. Post-quantum cryptography has tremendous potential in various domains and must be researched and explored further to be utilized successfully. Advancements in Quantum Blockchain With Real-Time Applications considers various concepts of computing such as quantum computing, post-quantum cryptography, quantum attack-resistant blockchain, quantum blockchains, and multidisciplinary applications and real-world use cases. The book also discusses solutions to various real-world problems within the industry. Covering key topics such as cybersecurity, data management, and smart society, this reference work is ideal for computer scientists, industry professionals, academicians, practitioners, scholars, researchers, instructors, and students.

Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis

Subhendu Kumar Pani,Sujata Dash,Wellington P. dos Santos,Syed Ahmad Chan Bukhari,Francesco Flammini
Assessing COVID 19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis Book PDF

Author : Subhendu Kumar Pani,Sujata Dash,Wellington P. dos Santos,Syed Ahmad Chan Bukhari,Francesco Flammini
Publisher : Springer Nature
Page : 416 pages
File Size : 49,6 Mb
Release : 2021-12-13
Category : Computers
ISBN : 9783030797539

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Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis by Subhendu Kumar Pani,Sujata Dash,Wellington P. dos Santos,Syed Ahmad Chan Bukhari,Francesco Flammini Pdf

This book comprehensively covers the topic of COVID-19 and other pandemics and epidemics data analytics using computational modelling. Biomedical and Health Informatics is an emerging field of research at the intersection of information science, computer science, and health care. The new era of pandemics and epidemics bring tremendous opportunities and challenges due to the plentiful and easily available medical data allowing for further analysis. The aim of pandemics and epidemics research is to ensure high-quality, efficient healthcare, better treatment and quality of life by efficiently analyzing the abundant medical, and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. In the past, it was a common requirement to have domain experts for developing models for biomedical or healthcare. However, recent advances in representation learning algorithms allow us to automatically learn the pattern and representation of the given data for the development of such models. Medical Image Mining, a novel research area (due to its large amount of medical images) are increasingly generated and stored digitally. These images are mainly in the form of: computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions related to health care. Image mining in medicine can help to uncover new relationships between data and reveal new and useful information that can be helpful for scientists and biomedical practitioners. Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis will play a vital role in improving human life in response to pandemics and epidemics. The state-of-the-art approaches for data mining-based medical and health related applications will be of great value to researchers and practitioners working in biomedical, health informatics, and artificial intelligence..

Big Data Analytics in Healthcare

Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki
Big Data Analytics in Healthcare Book PDF

Author : Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki
Publisher : Springer Nature
Page : 187 pages
File Size : 40,7 Mb
Release : 2019-10-01
Category : Technology & Engineering
ISBN : 9783030316723

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Big Data Analytics in Healthcare by Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki Pdf

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.