Computational Intelligence Methods In Covid 19 Surveillance Prevention Prediction And Diagnosis

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

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

Author : Khalid Raza
Publisher : Springer Nature
Page : 436 pages
File Size : 43,9 Mb
Release : 2020-10-16
Category : Technology & Engineering
ISBN : 9789811585340

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

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

Computational Intelligence Techniques for Combating COVID-19

Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
Computational Intelligence Techniques for Combating COVID 19 Book PDF

Author : Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid
Publisher : Springer Nature
Page : 392 pages
File Size : 44,8 Mb
Release : 2021
Category : Biomedical engineering
ISBN : 9783030689360

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Computational Intelligence Techniques for Combating COVID-19 by Sandeep Kautish,Sheng-Lung Peng,Ahmed J. Obaid Pdf

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).

Computational Intelligence for Managing Pandemics

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

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 : 50,9 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.

Computational Intelligence for COVID-19 and Future Pandemics

Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Computational Intelligence for COVID 19 and Future Pandemics Book PDF

Author : Utku Kose,Junzo Watada,Omer Deperlioglu,Jose Antonio Marmolejo Saucedo
Publisher : Springer Nature
Page : 435 pages
File Size : 47,6 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.

Computer Intelligence Against Pandemics

Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Sergey Gorbachev,Khan Muhammad,Mario Koeppen
Computer Intelligence Against Pandemics Book PDF

Author : Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Sergey Gorbachev,Khan Muhammad,Mario Koeppen
Publisher : Walter de Gruyter GmbH & Co KG
Page : 386 pages
File Size : 46,8 Mb
Release : 2023-08-07
Category : Computers
ISBN : 9783110767681

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Computer Intelligence Against Pandemics by Siddhartha Bhattacharyya,Jyoti Sekhar Banerjee,Sergey Gorbachev,Khan Muhammad,Mario Koeppen Pdf

This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.

Intelligent Computing Applications for COVID-19

Tanzila Saba,Amjad Rehman Khan
Intelligent Computing Applications for COVID 19 Book PDF

Author : Tanzila Saba,Amjad Rehman Khan
Publisher : CRC Press
Page : 338 pages
File Size : 40,5 Mb
Release : 2021-09-08
Category : Technology & Engineering
ISBN : 9781000423631

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Intelligent Computing Applications for COVID-19 by Tanzila Saba,Amjad Rehman Khan Pdf

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.

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data

Siddhartha Bhattacharyya
Intelligent Modeling Prediction and Diagnosis from Epidemiological Data Book PDF

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
Page : 290 pages
File Size : 50,9 Mb
Release : 2021-11-23
Category : Computers
ISBN : 9781000474732

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Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data by Siddhartha Bhattacharyya Pdf

Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.

Understanding COVID-19: The Role of Computational Intelligence

Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham
Understanding COVID 19 The Role of Computational Intelligence Book PDF

Author : Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham
Publisher : Springer Nature
Page : 569 pages
File Size : 53,5 Mb
Release : 2021-07-27
Category : Technology & Engineering
ISBN : 9783030747619

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Understanding COVID-19: The Role of Computational Intelligence by Janmenjoy Nayak,Bighnaraj Naik,Ajith Abraham Pdf

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.

Artificial Intelligence and Machine Learning for COVID-19

Fadi Al-Turjman
Artificial Intelligence and Machine Learning for COVID 19 Book PDF

Author : Fadi Al-Turjman
Publisher : Springer Nature
Page : 266 pages
File Size : 52,5 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.

Artificial Intelligence for COVID-19

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

Author : Diego Oliva,Said Ali Hassan,Ali Mohamed
Publisher : Springer Nature
Page : 594 pages
File Size : 51,6 Mb
Release : 2021-07-19
Category : Technology & Engineering
ISBN : 9783030697440

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

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

Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data

Siddhartha Bhattacharyya
Intelligent Modelling Prediction and Diagnosis from Epidemiological Data Book PDF

Author : Siddhartha Bhattacharyya
Publisher : Chapman & Hall/CRC Computational Intelligence and Its Applications
Page : 216 pages
File Size : 47,6 Mb
Release : 2021
Category : COVID-19 (Disease)
ISBN : 0367746069

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Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data by Siddhartha Bhattacharyya Pdf

Intelligent Modelling, Prediction, and Diagnosis from Epidemiological Data COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis and early detection of diseases arising out of outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic economic-social structure. The book offers comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior. A detailed overview of CI techniques. Intelligent modeling, prediction and diagnostic measures for pandemics. Prognostic models. Post-pandemic socio-economic structure. The accompanying case studies are based on real-world data sets available till date. While other books may deal with this Covid-19 pandemic, none features the human immune systems as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to come to the benefit of medical professionals and healthcare workers along with the virologists who are essentially the frontline fighters of Covid-19 pandemic. In addition, it would also serve as an essential resource for relevant researchers in this interdisciplinary field apart from tutors, post-graduate and under-graduate students of information sciences.

Computational Intelligence in Oncology

Khalid Raza
Computational Intelligence in Oncology Book PDF

Author : Khalid Raza
Publisher : Springer Nature
Page : 474 pages
File Size : 44,9 Mb
Release : 2022-03-01
Category : Technology & Engineering
ISBN : 9789811692215

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Computational Intelligence in Oncology by Khalid Raza Pdf

This book encapsulates recent applications of CI methods in the field of computational oncology, especially cancer diagnosis, prognosis, and its optimized therapeutics. The cancer has been known as a heterogeneous disease categorized in several different subtypes. According to WHO’s recent report, cancer is a leading cause of death worldwide, accounting for over 10 million deaths in the year 2020. Therefore, its early diagnosis, prognosis, and classification to a subtype have become necessary as it facilitates the subsequent clinical management and therapeutics plan. Computational intelligence (CI) methods, including artificial neural networks (ANNs), fuzzy logic, evolutionary computations, various machine learning and deep learning, and nature-inspired algorithms, have been widely utilized in various aspects of oncology research, viz. diagnosis, prognosis, therapeutics, and optimized clinical management. Appreciable progress has been made toward the understanding the hallmarks of cancer development, progression, and its effective therapeutics. However, notwithstanding the extrinsic and intrinsic factors which lead to drastic increment in incidence cases, the detection, diagnosis, prognosis, and therapeutics remain an apex challenge for the medical fraternity. With the advent in CI-based approaches, including nature-inspired techniques, and availability of clinical data from various high-throughput experiments, medical consultants, researchers, and oncologists have seen a hope to devise and employ CI in various aspects of oncology. The main aim of the book is to occupy state-of-the-art applications of CI methods which have been derived from core computer sciences to back medical oncology. This edited book covers artificial neural networks, fuzzy logic and fuzzy inference systems, evolutionary algorithms, various nature-inspired algorithms, and hybrid intelligent systems which are widely appreciated for the diagnosis, prognosis, and optimization of therapeutics of various cancers. Besides, this book also covers multi-omics exploration, gene expression analysis, gene signature identification of cancers, genomic characterization of tumors, anti-cancer drug design and discovery, drug response prediction by means of CI, and applications of IoT, IoMT, and blockchain technology in cancer research.

Artificial Intelligence in Healthcare

Lalit Garg,Sebastian Basterrech,Chitresh Banerjee,Tarun K. Sharma
Artificial Intelligence in Healthcare Book PDF

Author : Lalit Garg,Sebastian Basterrech,Chitresh Banerjee,Tarun K. Sharma
Publisher : Springer Nature
Page : 157 pages
File Size : 43,9 Mb
Release : 2021-10-29
Category : Technology & Engineering
ISBN : 9789811662652

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Artificial Intelligence in Healthcare by Lalit Garg,Sebastian Basterrech,Chitresh Banerjee,Tarun K. Sharma Pdf

This book highlights the analytics and optimization issues in healthcare systems, proposes new approaches, and presents applications of innovative approaches in real facilities. In the past few decades, there has been an exponential rise in the application of swarm intelligence techniques for solving complex and intricate problems arising in healthcare. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. The primary objective of this book is to bring forward thorough, in-depth, and well-focused developments of hybrid variants of swarm intelligence algorithms and their applications in healthcare systems.

Intelligent Systems and Methods to Combat Covid-19

Amit Joshi,Nilanjan Dey,K. C. Santosh
Intelligent Systems and Methods to Combat Covid 19 Book PDF

Author : Amit Joshi,Nilanjan Dey,K. C. Santosh
Publisher : Springer Nature
Page : 91 pages
File Size : 45,7 Mb
Release : 2020-08-26
Category : Technology & Engineering
ISBN : 9789811565724

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Intelligent Systems and Methods to Combat Covid-19 by Amit Joshi,Nilanjan Dey,K. C. Santosh Pdf

This book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.

Emerging Technologies for Combatting Pandemics

M. Rubaiyat Hossain Mondal,Utku Kose,V. B. Surya Prasath,Prajoy Podder,Subrato Bharati,Joarder Kamruzzaman
Emerging Technologies for Combatting Pandemics Book PDF

Author : M. Rubaiyat Hossain Mondal,Utku Kose,V. B. Surya Prasath,Prajoy Podder,Subrato Bharati,Joarder Kamruzzaman
Publisher : CRC Press
Page : 267 pages
File Size : 46,6 Mb
Release : 2022-11-25
Category : Medical
ISBN : 9781000777710

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Emerging Technologies for Combatting Pandemics by M. Rubaiyat Hossain Mondal,Utku Kose,V. B. Surya Prasath,Prajoy Podder,Subrato Bharati,Joarder Kamruzzaman Pdf

The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-making models, risk profiling of cohorts, and remote treatment. Applying these technologies runs against challenges including interoperability, lack of unified structure for eHealth, and data privacy and security. Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics examines multiple models and solutions for various settings including individual, home, work, and society. The world’s healthcare systems are battling the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to surmount these challenges. This book focuses on the design and implementation of AI-based approaches in the proposed COVID-19 solutions that are enabled and supported by IoMT, sensor networks, cloud and edge computing, robotics, and analytics. It covers technologies under the umbrella of AI that include data science, big data, machine learning (ML), semantic technologies, analytics, and cyber security. Highlights of the book include: Epidemic forecasting models Surveillance and tracking systems IoMT and Internet of Healthcare Things-based integrated systems for COVID-19 Social network analysis systems Radiological image- based diagnosis systems Computational intelligence methods This reference work is beneficial for interdisciplinary students, researchers, and healthcare and technology professionals who need to know how computational intelligence could be used for surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease.