Diagnosis And Analysis Of Covid 19 Using Artificial Intelligence And Machine Learning Based Techniques

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• Author : Mohammad Sufian Badar,Nima Rezaei,Hassan Imtiyaz,Jawed Ahmed,Afshar Alam
• Publisher : Academic Press
• Release Date : 2023-05-01
• Total pages : 0
• ISBN : 0323953743
• File Size : 21,9 Mb
• Total Download : 172
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Download Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques in PDF, Epub, and Kindle

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-based Techniques offers insight and demonstrates how machine learning (ML), artificial intelligence (AI), and (Internet of Things (IoT) can be used to diagnose and fight COVID-19 infection. The book in the molecular basis of pathogenesis, epidemiology, Transmission Mechanism, Diagnostic approaches, Mutational landscape of SARS-CoV-2. It also describes also discusses the challenges that we face in using these technologies. Organized into three parts, Part A covers the pathogenesis, transmission, diagnosis, and treatment strategies for COVID-19. Part B is an introduction to Artificial Intelligence and Machine Learning. This section examines machine Learning and other emerging technologies that can be used to diagnosis and treatment, but it also considers the challenges of using these technologies. Part C delves into Blockchain /IoT Blockchain technology. It examines how AI can be applied as a tool for detection and containment of the spread of COVID-19 and on the socioeconomic and educational post-pandemic impacts of the disease. Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-based Techniques is a multidisciplinary resource for those engaged in researching COVID-19 and in how emerging technologies are being used as tools for detection, transmission, and treatment strategies.

• Author : Fadi Al-Turjman
• Publisher : Springer Nature
• Release Date : 2021-02-19
• Total pages : 266
• ISBN : 9783030601881
• File Size : 54,7 Mb
• Total Download : 447
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Download Artificial Intelligence and Machine Learning for COVID-19 in PDF, Epub, and Kindle

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 : Diego Oliva,Said Ali Hassan,Ali Mohamed
• Publisher : Springer Nature
• Release Date : 2021-07-19
• Total pages : 594
• ISBN : 9783030697440
• File Size : 37,6 Mb
• Total Download : 741
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Download Artificial Intelligence for COVID-19 in PDF, Epub, and Kindle

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 : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar
• Publisher : Springer Nature
• Release Date : 2021-06-22
• Total pages : 370
• ISBN : 9789811615740
• File Size : 16,8 Mb
• Total Download : 740
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Download Intelligent Data Analysis for COVID-19 Pandemic in PDF, Epub, and Kindle

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 : Ramesh Poonia,Basant Agarwal,Sandeep Kumar,Mohammad Khan,Goncalo Marques,Janmenjoy Nayak
• Publisher : Academic Press
• Release Date : 2021-10-30
• Total pages : 278
• ISBN : 9780323853576
• File Size : 37,6 Mb
• Total Download : 522
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Download Cyber-Physical Systems in PDF, Epub, and Kindle

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture. Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19 Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques

• Author : Sushruta Mishra,Pradeep Kumar Mallick,Hrudaya Kumar Tripathy,Gyoo-Soo Chae,Bhabani Shankar Prasad Mishra
• Publisher : Springer Nature
• Release Date : 2021-07-22
• Total pages : 324
• ISBN : 9789811627866
• File Size : 34,5 Mb
• Total Download : 116
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Download Impact of AI and Data Science in Response to Coronavirus Pandemic in PDF, Epub, and Kindle

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 : Sachi Nandan Mohanty,Shailendra K. Saxena,Suneeta Satpathy,Jyotir Moy Chatterjee
• Publisher : Springer Nature
• Release Date : 2021-09-29
• Total pages : 593
• ISBN : 9789811573170
• File Size : 25,8 Mb
• Total Download : 529
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Download Applications of Artificial Intelligence in COVID-19 in PDF, Epub, and Kindle

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 : Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
• Publisher : Springer Nature
• Release Date : 2020-10-12
• Total pages : 307
• ISBN : 9783030552589
• File Size : 17,9 Mb
• Total Download : 909
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Download Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach in PDF, Epub, and Kindle

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 : Khalid Raza
• Publisher : Springer Nature
• Release Date : 2020-10-16
• Total pages : 436
• ISBN : 9789811585340
• File Size : 19,9 Mb
• Total Download : 923
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Download Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis in PDF, Epub, and Kindle

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.

• Author : Victor Chang,Harleen Kaur,Simon James Fong
• Publisher : Springer Nature
• Release Date : 2022-06-28
• Total pages : 255
• ISBN : 9783031045974
• File Size : 45,6 Mb
• Total Download : 622
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Download Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases in PDF, Epub, and Kindle

This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.

• Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
• Publisher : Academic Press
• Release Date : 2021-05-20
• Total pages : 752
• ISBN : 9780128245378
• File Size : 12,7 Mb
• Total Download : 770
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Download Data Science for COVID-19 Volume 1 in PDF, Epub, and Kindle

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

• Author : Zhao, Peng,Chen, Xi
• Publisher : IGI Global
• Release Date : 2022-04-29
• Total pages : 349
• ISBN : 9781799887959
• File Size : 27,9 Mb
• Total Download : 702
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Download Applied Big Data Analytics and Its Role in COVID-19 Research in PDF, Epub, and Kindle

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.

• Author : Deepak Gupta,Utku Kose,Ashish Khanna,Valentina Emilia Balas
• Publisher : Academic Press
• Release Date : 2022-02-15
• Total pages : 256
• ISBN : 9780128241462
• File Size : 13,5 Mb
• Total Download : 647
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Download Deep Learning for Medical Applications with Unique Data in PDF, Epub, and Kindle

Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The volume discusses not only positive findings, but also negative ones obtained by deep learning techniques, including the use of newly developed deep learning techniques rarely reported in the existing literature. The book excludes research works with ready data sets and includes only unique data use to better understand the state of deep learning in real-world cases, along with the feedback and user experiences from physicians and medical staff for applied deep learning-based solutions. Other applications presented in the book include hybrid solutions with deep learning support, disease diagnosis with deep learning focusing on rare diseases and cancer, patient care and treatment, genomics research, as well as research on robotics and autonomous systems. Introduces deep learning, demonstrating concepts for a wide variety of medical applications using unique data, excluding research with ready datasets Encompasses a wide variety of biomedical applications, including unsupervised learning, natural language processing, pattern recognition, image and video processing and disease diagnosis Provides a robust set of methods that will help readers appropriately and judiciously use the most suitable deep learning techniques for their applications

• Author : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna
• Publisher : Academic Press
• Release Date : 2021-10-22
• Total pages : 812
• ISBN : 9780323907705
• File Size : 40,7 Mb
• Total Download : 628
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Download Data Science for COVID-19 in PDF, Epub, and Kindle

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 for the detection, mitigation, treatment and elimination of the COVID-19 virus. 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 is now possible. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and the 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 Presents insights into innovative, data-oriented modeling and predictive techniques from COVID-19 researchers around the world, including geoprocessing and tracking, lab data analysis, and 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, and insights on future pandemics

• Author : Victor Chang,Mohamed Abdel-Basset,Muthu Ramachandran,Nicolas Green,Gary Wills
• Publisher : Academic Press
• Release Date : 2022-04-05
• Total pages : 298
• ISBN : 9780323903783
• File Size : 42,8 Mb
• Total Download : 873
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Download Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 in PDF, Epub, and Kindle

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people’s data once their information has been used to fight the pandemic Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak

• Author : Niklas Lidströmer,Yonina C. Eldar
• Publisher : Springer Nature
• Release Date : 2022-11-09
• Total pages : 346
• ISBN : 9783031085062
• File Size : 37,8 Mb
• Total Download : 377
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Download Artificial Intelligence in Covid-19 in PDF, Epub, and Kindle

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 : Tanzila Saba,Amjad Rehman Khan
• Publisher : CRC Press
• Release Date : 2021-09-08
• Total pages : 344
• ISBN : 9781000423600
• File Size : 41,5 Mb
• Total Download : 800
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Download Intelligent Computing Applications for COVID-19 in PDF, Epub, and Kindle

Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public.

• Author : Roy, Manikant,Gupta, Lovi Raj
• Publisher : IGI Global
• Release Date : 2021-06-25
• Total pages : 241
• ISBN : 9781799871903
• File Size : 30,6 Mb
• Total Download : 155
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Download Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease in PDF, Epub, and Kindle

Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.

• Author : Kauser Hameed,Surbhi Bhatia,Syed Tousi Ahmed
• Publisher : Academic Press
• Release Date : 2021-04-27
• Total pages : 183
• ISBN : 9780323899963
• File Size : 42,7 Mb
• Total Download : 233
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Download Researches and Applications of Artificial Intelligence to Mitigate Pandemics in PDF, Epub, and Kindle

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 : Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
• Publisher : Springer Nature
• Release Date : 2021
• Total pages : 392
• ISBN : 9783030689360
• File Size : 31,9 Mb
• Total Download : 377
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Download Computational Intelligence Techniques for Combating COVID-19 in PDF, Epub, and Kindle

This book presents the latest cutting edge research, theoretical methods, and novel applications in the field of computational intelligence and computational biological approaches that are aiming to combat COVID-19. The book gives the technological key drivers behind using AI to find drugs that target the virus, shedding light on the structure of COVID-19, detecting the outbreak and spread of new diseases, spotting signs of a COVID-19 infection in medical images, monitoring how the virus and lockdown is affecting mental health, and forecasting how COVID-19 cases and deaths will spread across cities and why. Further, the book helps readers understand computational intelligence techniques combating COVID-19 in a simple and systematic way. Provides a comprehensive reference covering innovations and development of theories, conceptual models and computational algorithms focused on COVID-19; Asserts all relevant research, key themes, complex adaptive systems, metrics and paradigms dedicated towards COVID-19, enabled with evolutionary methods of computational sciences; Explores how AI and computational techniques can help to predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS).

• Author : Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham
• Publisher : Springer Nature
• Release Date : 2021-07-27
• Total pages : 569
• ISBN : 9783030747619
• File Size : 21,9 Mb
• Total Download : 407
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Download Understanding COVID-19: The Role of Computational Intelligence in PDF, Epub, and Kindle

This book provides a comprehensive description of the novel coronavirus infection, spread analysis, and related challenges for the effective combat and treatment. With a detailed discussion on the nature of transmission of COVID-19, few other important aspects such as disease symptoms, clinical application of radiomics, image analysis, antibody treatments, risk analysis, drug discovery, emotion and sentiment analysis, virus infection, and fatality prediction are highlighted. The main focus is laid on different issues and futuristic challenges of computational intelligence techniques in solving and identifying the solutions for COVID-19. The book drops radiance on the reasons for the growing profusion and complexity of data in this sector. Further, the book helps to focus on further research challenges and directions of COVID-19 for the practitioners as well as researchers.