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Researches And Applications Of Artificial Intelligence To Mitigate Pandemics

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Researches and Applications of Artificial Intelligence to Mitigate Pandemics

Researches and Applications of Artificial Intelligence to Mitigate Pandemics Book
Author : Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
Publisher : Academic Press
Release : 2021-04-27
ISBN : 032389996X
Language : En, Es, Fr & De

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Book Description :

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

Computational Modeling and Data Analysis in COVID 19 Research

Computational Modeling and Data Analysis in COVID 19 Research Book
Author : Chhabi Rani Panigrahi,Bibudhendu Pati,Mamata Rath,Rajkumar Buyya
Publisher : CRC Press
Release : 2021-05-10
ISBN : 1000384977
Language : En, Es, Fr & De

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Book Description :

This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

Leveraging Artificial Intelligence in Global Epidemics

Leveraging Artificial Intelligence in Global Epidemics Book
Author : Le Gruenwald,Sarika Jain,Sven Groppe
Publisher : Academic Press
Release : 2021-08-06
ISBN : 032390002X
Language : En, Es, Fr & De

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Book Description :

Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing

Predictive and Preventive Measures for Covid 19 Pandemic

Predictive and Preventive Measures for Covid 19 Pandemic Book
Author : Praveen Kumar Khosla,Mamta Mittal,Dolly Sharma,Lalit Mohan Goyal
Publisher : Springer
Release : 2021-01-23
ISBN : 9789813342354
Language : En, Es, Fr & De

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Book Description :

This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.

Proceedings of Research and Applications in Artificial Intelligence

Proceedings of Research and Applications in Artificial Intelligence Book
Author : Indrajit Pan
Publisher : Springer Nature
Release : 2021-09-26
ISBN : 9811615438
Language : En, Es, Fr & De

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Book Description :

Download Proceedings of Research and Applications in Artificial Intelligence book written by Indrajit Pan, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Current and Future Application of Artificial Intelligence in Clinical Medicine

Current and Future Application of Artificial Intelligence in Clinical Medicine Book
Author : Jie Yang,Shigao Huang
Publisher : Bentham Science Publishers
Release : 2021-06-01
ISBN : 1681088428
Language : En, Es, Fr & De

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Book Description :

Current and Future Application of Artificial Intelligence in Clinical Medicine presents updates on the application of machine learning and deep learning techniques in medical procedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader. Topics covered in the book include 1) Artificial Intelligence (AI) applications in cancer diagnosis and therapy, 2) Updates in AI applications in the medical industry, 3) the use of AI in studying the COVID-19 pandemic in China, 4) AI applications in clinical oncology (including AI-based mining for pulmonary nodules and the use of AI in understanding specific carcinomas), 5) AI in medical imaging. Each chapter presents information on related sub topics in a reader friendly format. The combination of expert knowledge and multidisciplinary approaches highlighted in the book make it a valuable source of information for physicians and clinical researchers active in the field of cancer diagnosis and treatment (oncologists, oncologic surgeons, radiation oncologists, nuclear medicine physicians, and radiologists) and computer science scholars seeking to understand medical applications of artificial intelligence.

Data Science for COVID 19

Data Science for COVID 19 Book
Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publisher : Academic Press
Release : 2021-10-01
ISBN : 0323907709
Language : En, Es, Fr & De

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Book Description :

Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques to the detection, mitigation, treatment, and elimination of the COVID-19 virus around the world. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes. Data Science for COVID-19, Volume 2 extends the coverage of Volume 1 into research on statistical data and applications of Data Science to a variety of perspectives for analysis and understanding of the wide variety of impacts COVID-19 is having on societies and medical practice around the world. 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 the wide variety of impacts the virus is having on societies and medical practice Provides insight into innovative data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including Geoprocessing and Tracking, lab data analysis, theoretical views on a variety of technical applications Includes real-world feedback and user experiences from physicians and medical staff from around the world for medical treatment perspectives, public safety policies and impacts, sociological and psychological perspectives, the effects of COVID-19 in agriculture, economies, and education, as well as insights on future pandemics

Research and Innovation Forum 2021

Research and Innovation Forum 2021 Book
Author : Anna Visvizi
Publisher : Springer Nature
Release : 2021-09-26
ISBN : 3030843114
Language : En, Es, Fr & De

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Book Description :

Download Research and Innovation Forum 2021 book written by Anna Visvizi, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Data Science for COVID 19 Volume 1

Data Science for COVID 19 Volume 1 Book
Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
Publisher : Academic Press
Release : 2021-05-27
ISBN : 0128245379
Language : En, Es, Fr & De

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Book Description :

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

Advanced Machine Learning Technologies and Applications

Advanced Machine Learning Technologies and Applications Book
Author : Aboul-Ella Hassanien
Publisher : Springer Nature
Release : 2021-09-26
ISBN : 3030697177
Language : En, Es, Fr & De

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Book Description :

Download Advanced Machine Learning Technologies and Applications book written by Aboul-Ella Hassanien, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Handbook of Research on Library Response to the COVID 19 Pandemic

Handbook of Research on Library Response to the COVID 19 Pandemic Book
Author : Holland, Barbara
Publisher : IGI Global
Release : 2021-03-19
ISBN : 1799864510
Language : En, Es, Fr & De

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Book Description :

Since the spread of COVID-19, conferences have been canceled, schools have closed, and libraries around the world are facing difficult decisions on which services to offer and how, ranging from minimal restrictions to full closures. Depending on the country, state, or city, a government may have a different approach, sometimes ordering the closure of all institutions, others indicating that it’s business as usual, and others simply leaving decisions up to library directors. All libraries worldwide have been affected, from university libraries to public library systems and national libraries. Throughout these closures, libraries continue to provide services to their communities, which has led to an emerging area of research on library services, new emerging technologies, and the advancements made to libraries during this global health crisis. The Handbook of Research on Library Response to the COVID-19 Pandemic consists of chapters that contain essential library services and emerging research and technology that evolved and/or has continued during the COVID-19 pandemic, as well as the challenges and opportunities that have been undertaken as a result. The chapters provide in-depth research, surveys, and information on areas such as remote working, machine learning, data management, and the role of information during COVID-19. This book is a valuable reference tool for practitioners, stakeholders, researchers, academicians, and students who are interested in the current state of libraries during a pandemic and the future outlook.

Handbook of Artificial Intelligence in Healthcare

Handbook of Artificial Intelligence in Healthcare Book
Author : Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Publisher : Springer Nature
Release : 2021-10-17
ISBN : 3030791610
Language : En, Es, Fr & De

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Book Description :

This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.

AI and Robotics in Disaster Studies

AI and Robotics in Disaster Studies Book
Author : T. V. Vijay Kumar,Keshav Sud
Publisher : Springer Nature
Release : 2020-10-12
ISBN : 9811542910
Language : En, Es, Fr & De

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Book Description :

This book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. Its time that the struggling disaster management services get supported and facilitated by new technology of combining Artificial Intelligence (AI) and Machine Learning (ML) with Data Analytics Technologies (DAT)to serve people and government in disaster management. AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved.

ITNG 2021 18th International Conference on Information Technology New Generations

ITNG 2021 18th International Conference on Information Technology New Generations Book
Author : Shahram Latifi
Publisher : Springer Nature
Release : 2021-09-26
ISBN : 3030704165
Language : En, Es, Fr & De

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Book Description :

Download ITNG 2021 18th International Conference on Information Technology New Generations book written by Shahram Latifi, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Handbook of Research Methods in Complexity Science

Handbook of Research Methods in Complexity Science Book
Author : Eve Mitleton-Kelly,Alexandros Paraskevas,Christopher Day
Publisher : Edward Elgar Publishing
Release : 2021-09-26
ISBN : 1785364421
Language : En, Es, Fr & De

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Book Description :

This comprehensive Handbook is aimed at both academic researchers and practitioners in the field of complexity science. The book’s 26 chapters, specially written by leading experts, provide in-depth coverage of research methods based on the sciences of complexity. The research methods presented are illustratively applied to practical cases and are readily accessible to researchers and decision makers alike.

Artificial Intelligence in Society

Artificial Intelligence in Society Book
Author : OECD
Publisher : OECD Publishing
Release : 2019-06-11
ISBN : 9264545190
Language : En, Es, Fr & De

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Book Description :

The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

Hybrid Artificial Intelligence and IoT in Healthcare

Hybrid Artificial Intelligence and IoT in Healthcare Book
Author : Akash Kumar Bhoi
Publisher : Springer Nature
Release : 2021-09-26
ISBN : 9811629722
Language : En, Es, Fr & De

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Book Description :

Download Hybrid Artificial Intelligence and IoT in Healthcare book written by Akash Kumar Bhoi, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

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 Book
Author : Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
Publisher : Springer Nature
Release : 2020-11-13
ISBN : 3030552586
Language : En, Es, Fr & De

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Book Description :

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.

Data Privacy During Pandemics

Data Privacy During Pandemics Book
Author : Benjamin Boudreaux,Matthew A. DeNardo,Sarah W. Denton,Ricardo Sanchez,Katie Feistel
Publisher : Unknown
Release : 2020-07-30
ISBN : 1977405630
Language : En, Es, Fr & De

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Book Description :

As part of the response to the COVID-19 pandemic, governments worldwide have deployed mobile phone surveillance programs to augment public health interventions. The authors examine how these programs can be implemented in ways that protect privacy.

Data Science Advancements in Pandemic and Outbreak Management

Data Science Advancements in Pandemic and Outbreak Management Book
Author : Asimakopoulou, Eleana,Bessis, Nik
Publisher : IGI Global
Release : 2021-04-09
ISBN : 1799867382
Language : En, Es, Fr & De

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Book Description :

Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought together and examined before the declaration of a pandemic even happens. Various health organizations; crisis management bodies; and authorities at local, national, and international levels are involved in the management of pandemics. There is no better time to revisit current approaches to cope with these new and unforeseen threats. As countries must strike a fine balance between protecting health, minimizing economic and social disruption, and respecting human rights, there has been an emerging interest in lessons learned and specifically in revisiting past and current pandemic approaches. Such approaches involve strategies and practices from several disciplines and fields including healthcare, management, IT, mathematical modeling, and data science. Using data science to advance in-situ practices and prompt future directions could help alleviate or even prevent human, financial, and environmental compromise, and loss and social interruption via state-of-the-art technologies and frameworks. Data Science Advancements in Pandemic and Outbreak Management demonstrates how strategies and state-of-the-art IT have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management. The chapters will introduce both technical and non-technical details of management strategies and advanced IT, data science, and mathematical modelling and demonstrate their applications and their potential utilization within the identification and management of pandemics and outbreaks. It also prompts revisiting and critically reviewing past and current approaches, identifying good and bad practices, and further developing the area for future adaptation. This book is ideal for data scientists, data analysts, infectious disease experts, researchers studying pandemics and outbreaks, IT, crisis and disaster management, academics, practitioners, government officials, and students interested in applicable theories and practices in data science to mitigate, prepare for, respond to, and recover from future pandemics and outbreaks.