Artificial Intelligence Applications In A Pandemic

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Applications of Artificial Intelligence in COVID-19

Author : Sachi Nandan Mohanty
Publisher : Springer Nature
ISBN 13 : 9811573174
Total Pages : 593 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applications of Artificial Intelligence in COVID-19 by : Sachi Nandan Mohanty

Download or read book Applications of Artificial Intelligence in COVID-19 written by Sachi Nandan Mohanty and published by Springer Nature. This book was released on 2021-09-29 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence Applications in a Pandemic

Author : Salah-ddine Krit
Publisher : CRC Press
ISBN 13 : 1000460274
Total Pages : 150 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence Applications in a Pandemic by : Salah-ddine Krit

Download or read book Artificial Intelligence Applications in a Pandemic written by Salah-ddine Krit and published by CRC Press. This book was released on 2021-03-18 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence for COVID-19

Author : Diego Oliva
Publisher : Springer Nature
ISBN 13 : 3030697444
Total Pages : 594 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for COVID-19 by : Diego Oliva

Download or read book Artificial Intelligence for COVID-19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence and Machine Learning for COVID-19

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030601889
Total Pages : 266 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence and Machine Learning for COVID-19 by : Fadi Al-Turjman

Download or read book Artificial Intelligence and Machine Learning for COVID-19 written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2021-02-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Impact of AI and Data Science in Response to Coronavirus Pandemic

Author : Sushruta Mishra
Publisher : Springer Nature
ISBN 13 : 981162786X
Total Pages : 324 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Impact of AI and Data Science in Response to Coronavirus Pandemic by : Sushruta Mishra

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by Springer Nature. This book was released on 2021-07-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence for COVID-19 and Future Pandemics

Author : Utku Kose
Publisher : Springer Nature
ISBN 13 : 9811637830
Total Pages : 435 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Intelligence for COVID-19 and Future Pandemics by : Utku Kose

Download or read book Computational Intelligence for COVID-19 and Future Pandemics written by Utku Kose and published by Springer Nature. This book was released on 2022-01-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence in Covid-19

Author : Niklas Lidströmer
Publisher : Springer Nature
ISBN 13 : 303108506X
Total Pages : 346 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence in Covid-19 by : Niklas Lidströmer

Download or read book Artificial Intelligence in Covid-19 written by Niklas Lidströmer and published by Springer Nature. This book was released on 2022-11-09 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19

Author : Allam Hamdan
Publisher : Springer Nature
ISBN 13 : 3030939219
Total Pages : 701 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 by : Allam Hamdan

Download or read book Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 written by Allam Hamdan and published by Springer Nature. This book was released on 2022-02-17 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis.

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

Author : Aboul-Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030552586
Total Pages : 307 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach by : Aboul-Ella Hassanien

Download or read book Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2020-10-12 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applications of Artificial Intelligence in COVID-19

Author : Sachi Nandan Mohanty
Publisher :
ISBN 13 : 9789811573187
Total Pages : 0 pages
Book Rating : 4.5/5 (731 download)

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Book Synopsis Applications of Artificial Intelligence in COVID-19 by : Sachi Nandan Mohanty

Download or read book Applications of Artificial Intelligence in COVID-19 written by Sachi Nandan Mohanty and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI-enabled Data Science for COVID-19

Author : Da Yan
Publisher : Frontiers Media SA
ISBN 13 : 2889740501
Total Pages : 115 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis AI-enabled Data Science for COVID-19 by : Da Yan

Download or read book AI-enabled Data Science for COVID-19 written by Da Yan and published by Frontiers Media SA. This book was released on 2022-01-13 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Data Analysis for COVID-19 Pandemic

Author : M. Niranjanamurthy
Publisher : Springer Nature
ISBN 13 : 9811615748
Total Pages : 370 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Data Analysis for COVID-19 Pandemic by : M. Niranjanamurthy

Download or read book Intelligent Data Analysis for COVID-19 Pandemic written by M. Niranjanamurthy and published by Springer Nature. This book was released on 2021-06-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applications of Machine Learning

Author : Prashant Johri
Publisher : Springer Nature
ISBN 13 : 9811533571
Total Pages : 404 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applications of Machine Learning by : Prashant Johri

Download or read book Applications of Machine Learning written by Prashant Johri and published by Springer Nature. This book was released on 2020-05-04 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers applications of machine learning in artificial intelligence. The specific topics covered include human language, heterogeneous and streaming data, unmanned systems, neural information processing, marketing and the social sciences, bioinformatics and robotics, etc. It also provides a broad range of techniques that can be successfully applied and adopted in different areas. Accordingly, the book offers an interesting and insightful read for scholars in the areas of computer vision, speech recognition, healthcare, business, marketing, and bioinformatics.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Researches and Applications of Artificial Intelligence to Mitigate Pandemics

Author : Kauser Hameed
Publisher : Academic Press
ISBN 13 : 032389996X
Total Pages : 183 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Researches and Applications of Artificial Intelligence to Mitigate Pandemics by : Kauser Hameed

Download or read book Researches and Applications of Artificial Intelligence to Mitigate Pandemics written by Kauser Hameed and published by Academic Press. This book was released on 2021-04-27 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Emerging Technologies During the Era of COVID-19 Pandemic

Author : Ibrahim Arpaci
Publisher : Springer Nature
ISBN 13 : 3030677168
Total Pages : 385 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Emerging Technologies During the Era of COVID-19 Pandemic by : Ibrahim Arpaci

Download or read book Emerging Technologies During the Era of COVID-19 Pandemic written by Ibrahim Arpaci and published by Springer Nature. This book was released on 2021-03-20 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book tackles the recent research directions in using the newly emerged technologies during the era of COVID-19 pandemic. It mainly focuses on using emerging technologies and their impact on health care, education, and society. It also provides insights into the current challenges and constraints in using technologies during the era of COVID-19 pandemic and exposes new opportunities for future research in the domain.

Impact of AI and Data Science in Response to Coronavirus Pandemic

Author : Sushruta Mishra
Publisher :
ISBN 13 : 9789811627873
Total Pages : 0 pages
Book Rating : 4.6/5 (278 download)

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Book Synopsis Impact of AI and Data Science in Response to Coronavirus Pandemic by : Sushruta Mishra

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.