Artificial Intelligence Applications In A Pandemic

Author : Salah-ddine Krit,Vrijendra Singh,Mohamed Elhoseny,Yashbir Singh
Publisher : CRC Press
Page : 150 pages
File Size : 46,5 Mb
Release : 2021-03-18
Category : Computers
ISBN : 9781000460278

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Artificial Intelligence Applications in a Pandemic by Salah-ddine Krit,Vrijendra Singh,Mohamed Elhoseny,Yashbir Singh Pdf

COVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we come across myriad challenges during this pandemic. Scientists and developers are learning and finding a way to use artificial intelligence applications and natural language processing to comprehend and tackle this disease. AI technologies are playing an important role in the response to the COVID-19 pandemic. Experts are using all possible tools to study the virus, diagnose individuals, and analyze the public health impacts. This book is a collection of some of the leading efforts related to AI and COVID-19 focused on finding how AI can be helpful in monitoring the situation from early warnings, swift emergency responses, and critical decision-making. It discusses the use of machine learning and how it may help to reduce the impacts of this pandemic in conjunction with all other research and strategies going on. The book serves as a technical resource of data analytics and AI applications in tracking infectious diseases. It will serve academics, students, data scientists, medical practitioners, and anybody managing a global pandemic. Features: Directs the attention to the smart digital healthcare system in this COVID-19 pandemic. Simulates novel investigations and how they will be beneficial in understanding the pandemic. Presents the latest ideas developed for data scientists, doctors, engineers, and economists. Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientific skill gaps. Explains some interesting and diverse types of challenges and data-driven healthcare applications.

Author : Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee
Publisher : Springer Nature
Page : 593 pages
File Size : 49,7 Mb
Release : 2021-09-29
Category : Medical
ISBN : 9789811573170

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Applications of Artificial Intelligence in COVID-19 by Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee Pdf

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

Author : Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra
Publisher : Springer Nature
Page : 324 pages
File Size : 50,7 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9789811627866

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Impact of AI and Data Science in Response to Coronavirus Pandemic by Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra Pdf

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Author : Diego Oliva,Said Ali Hassan,Ali Mohamed
Publisher : Springer Nature
Page : 594 pages
File Size : 41,8 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.

Author : Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Publisher : Springer Nature
Page : 435 pages
File Size : 43,6 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9789811637834

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Computational Intelligence for COVID-19 and Future Pandemics by Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo Pdf

The book covers a wide topic collection starting from essentials of Computational Intelligence to advance, and possible application types against COVID-19 as well as its effects on the field of medical, social, and different data-oriented research scopes. Among these topics, the book also covers very recently, vital topics in terms of fighting against COVID-19 and solutions for future pandemics. The book includes the use of computational intelligence for especially medical diagnosis and treatment, and also data-oriented tracking-predictive solutions, which are key components currently for fighting against COVID-19. In this way, the book will be a key reference work for understanding how computational intelligence and the most recent technologies (i.e. Internet of Healthcare Thing, big data, and data science techniques) can be employed in solution phases and how they change the way of future solutions. The book also covers research works with negative results so that possible disadvantages of using computational intelligence solutions and/or experienced side-effects can be known widely for better future of medical solutions and use of intelligent systems against COVID-19 and pandemics. The book is considering both theoretical and applied views to enable readers to be informed about not only research works but also theoretical views about essentials/components of intelligent systems against COVID-19/pandemics, possible modeling scenarios with current and future perspective as well as solution strategies thought by researchers all over the world.

Author : Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Publisher : Springer Nature
Page : 307 pages
File Size : 47,8 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.

Author : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar
Publisher : Springer Nature
Page : 370 pages
File Size : 41,5 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.

Author : Niklas Lidströmer,Yonina C. Eldar
Publisher : Springer Nature
Page : 346 pages
File Size : 51,6 Mb
Release : 2022-11-09
Category : Medical
ISBN : 9783031085062

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Artificial Intelligence in Covid-19 by Niklas Lidströmer,Yonina C. Eldar Pdf

This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.

Author : Da Yan,Hong Qin,Hsiang-Yun Wu,Jake Y. Chen
Publisher : Frontiers Media SA
Page : 115 pages
File Size : 41,7 Mb
Release : 2022-01-13
Category : Science
ISBN : 9782889740505

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AI-enabled Data Science for COVID-19 by Da Yan,Hong Qin,Hsiang-Yun Wu,Jake Y. Chen Pdf

Author : Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee
Publisher : Unknown
Page : 0 pages
File Size : 45,7 Mb
Release : 2021
Category : Electronic
ISBN : 9811573182

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Applications of Artificial Intelligence in COVID-19 by Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee Pdf

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

Author : Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
Publisher : Academic Press
Page : 183 pages
File Size : 52,7 Mb
Release : 2021-04-27
Category : Technology & Engineering
ISBN : 9780323899963

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Researches and Applications of Artificial Intelligence to Mitigate Pandemics by Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed Pdf

Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage. Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemics Covers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methods Highlights the negative effect of social media and other sources by applying preventive measures to combat depression and anxiety

Author : Fadi Al-Turjman
Publisher : Springer Nature
Page : 266 pages
File Size : 45,6 Mb
Release : 2021-02-19
Category : Technology & Engineering
ISBN : 9783030601881

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Artificial Intelligence and Machine Learning for COVID-19 by Fadi Al-Turjman Pdf

This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

Author : Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra
Publisher : Unknown
Page : 0 pages
File Size : 52,6 Mb
Release : 2021
Category : Electronic
ISBN : 9811627878

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Impact of AI and Data Science in Response to Coronavirus Pandemic by Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra Pdf

The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Author : Aditya Khamparia,Rubaiyat Hossain Mondal,Prajoy Podder,Bharat Bhushan,Victor Hugo C. de Albuquerque,Sachin Kumar
Publisher : Walter de Gruyter GmbH & Co KG
Page : 394 pages
File Size : 49,8 Mb
Release : 2021-09-07
Category : Computers
ISBN : 9783110712278

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Computational Intelligence for Managing Pandemics by Aditya Khamparia,Rubaiyat Hossain Mondal,Prajoy Podder,Bharat Bhushan,Victor Hugo C. de Albuquerque,Sachin Kumar Pdf

This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and applications from the current Covid-19 pandemic. The book chapters will focus on the application of CI and its related fields in managing different aspects of Covid-19, including modelling of the disease spread, data-driven prediction, identification of disease hotspots, and medical decision support.

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 40,9 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data