Intelligent Data Analysis For Covid 19 Pandemic
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Intelligent Data Analysis for COVID 19 Pandemic
Author | : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar |
Publsiher | : Springer Nature |
Total Pages | : 370 |
Release | : 2021-06-22 |
Genre | : Technology & Engineering |
ISBN | : 9789811615740 |
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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.
Intelligent Data Analysis for COVID 19 Pandemic
Author | : M. Niranjanamurthy,Siddhartha Bhattacharyya,Neeraj Kumar |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2021 |
Genre | : Electronic Book |
ISBN | : 9811615756 |
Download Intelligent Data Analysis for COVID 19 Pandemic Book 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.
Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach
Author | : Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy |
Publsiher | : Springer Nature |
Total Pages | : 307 |
Release | : 2020-10-12 |
Genre | : Computers |
ISBN | : 9783030552589 |
Download Big Data Analytics and Artificial Intelligence Against COVID 19 Innovation Vision and Approach Book 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.
Data Science for COVID 19 Volume 1
Author | : Utku Kose,Deepak Gupta,Victor Hugo Costa de Albuquerque,Ashish Khanna |
Publsiher | : Academic Press |
Total Pages | : 754 |
Release | : 2021-05-20 |
Genre | : Science |
ISBN | : 9780128245378 |
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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
Applied Big Data Analytics and Its Role in COVID 19 Research
Author | : Zhao, Peng,Chen, Xi |
Publsiher | : IGI Global |
Total Pages | : 349 |
Release | : 2022-04-29 |
Genre | : Computers |
ISBN | : 9781799887959 |
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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.
Data Analytics for Pandemics
Author | : Gitanjali Rahul Shinde,Asmita Balasaheb Kalamkar,Parikshit N. Mahalle,Nilanjan Dey |
Publsiher | : CRC Press |
Total Pages | : 68 |
Release | : 2020-08-30 |
Genre | : Computers |
ISBN | : 9781000204414 |
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Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-19, which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.
Advances in Data Science and Intelligent Data Communication Technologies for COVID 19
Author | : Aboul-Ella Hassanien,Sally M. Elghamrawy,Ivan Zelinka |
Publsiher | : Springer Nature |
Total Pages | : 311 |
Release | : 2021-07-23 |
Genre | : Computers |
ISBN | : 9783030773021 |
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This book presents the emerging developments in intelligent computing, machine learning, and data mining. It also provides insights on communications, network technologies, and the Internet of things. It offers various insights on the role of the Internet of things against COVID-19 and its potential applications. It provides the latest cloud computing improvements and advanced computing and addresses data security and privacy to secure COVID-19 data.
Intelligent Modeling Prediction and Diagnosis from Epidemiological Data
Author | : Siddhartha Bhattacharyya |
Publsiher | : CRC Press |
Total Pages | : 290 |
Release | : 2021-11-23 |
Genre | : Computers |
ISBN | : 9781000474732 |
Download Intelligent Modeling Prediction and Diagnosis from Epidemiological Data Book in PDF, Epub and Kindle
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.