Building A Platform For Data Driven Pandemic Prediction

Download Building A Platform For Data Driven Pandemic Prediction full books in PDF, epub, and Kindle. Read online Building A Platform For Data Driven Pandemic Prediction ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Building a Platform for Data-Driven Pandemic Prediction

Author : Dani Gamerman
Publisher : CRC Press
ISBN 13 : 1000457192
Total Pages : 382 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Building a Platform for Data-Driven Pandemic Prediction by : Dani Gamerman

Download or read book Building a Platform for Data-Driven Pandemic Prediction written by Dani Gamerman and published by CRC Press. This book was released on 2021-09-13 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modeling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive plotting programs. The focus is on the integration of statistics and computing tools rather than on an in-depth analysis of all possibilities on each side. Readers can follow different reading paths through the book, depending on their needs. The book is meant as a basis for further investigation of statistical modelling, implementation tools, monitoring aspects, and software functionalities. Features: A general but parsimonious class of models to perform statistical prediction for epidemics, using a Bayesian approach Implementation of automated routines to obtain daily prediction results How to interactively visualize the model results Strategies for monitoring the performance of the predictions and identifying potential issues in the results Discusses the many decisions required to develop and publish online platforms Supplemented by an R package and its specific functionalities to model epidemic outbreaks The book is geared towards practitioners with an interest in the development and presentation of results in an online platform of statistical analysis of epidemiological data. The primary audience includes applied statisticians, biostatisticians, computer scientists, epidemiologists, and professionals interested in learning more about epidemic modelling in general, including the COVID-19 pandemic, and platform building. The authors are professors at the Statistics Department at Universidade Federal de Minas Gerais. Their research records exhibit contributions applied to a number of areas of Science, including Epidemiology. Their research activities include books published with Chapman and Hall/CRC and papers in high quality journals. They have also been involved with academic management of graduate programs in Statistics and one of them is currently the President of the Brazilian Statistical Association.

COVID-19: Prediction, Decision-Making, and its Impacts

Author : K.C. Santosh
Publisher : Springer Nature
ISBN 13 : 9811596824
Total Pages : 137 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis COVID-19: Prediction, Decision-Making, and its Impacts by : K.C. Santosh

Download or read book COVID-19: Prediction, Decision-Making, and its Impacts written by K.C. Santosh and published by Springer Nature. This book was released on 2020-12-11 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life. Starting withmajor COVID-19 issues and challenges, it takes possible AI-based solutions forseveral problems, such as public health surveillance, early (epidemic) prediction,COVID-19 positive case detection, and robotics integration against COVID-19.Beside mathematical modeling, it includes the necessity of changes in innovationsand possible COVID-19 impacts. The book covers a clear understanding of AI-driven tools and techniques, where pattern recognition, anomaly detection, machinelearning, and data analytics are considered. It aims to include the wide range ofaudiences from computer science and engineering to healthcare professionals.

Data Analytics for Pandemics

Author : Gitanjali Rahul Shinde
Publisher : CRC Press
ISBN 13 : 1000204456
Total Pages : 73 pages
Book Rating : 4.0/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Data Analytics for Pandemics by : Gitanjali Rahul Shinde

Download or read book Data Analytics for Pandemics written by Gitanjali Rahul Shinde and published by CRC Press. This book was released on 2020-08-30 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Data Analysis for COVID-19 Pandemic

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

DOWNLOAD NOW!

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

Download or read book Intelligent Data Analysis for COVID-19 Pandemic written by M. Niranjanamurthy and published by Springer Nature. This book was released on 2021-06-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Artificial Intelligence for COVID-19

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

DOWNLOAD NOW!

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

Download or read book Artificial Intelligence for COVID-19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Healthcare Informatics for Fighting COVID-19 and Future Epidemics

Author : Lalit Garg
Publisher : Springer Nature
ISBN 13 : 3030727521
Total Pages : 444 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Healthcare Informatics for Fighting COVID-19 and Future Epidemics by : Lalit Garg

Download or read book Healthcare Informatics for Fighting COVID-19 and Future Epidemics written by Lalit Garg and published by Springer Nature. This book was released on 2021-09-01 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics.

Artificial Intelligence in Healthcare and COVID-19

Author : Parag Chatterjee
Publisher : Elsevier
ISBN 13 : 0323905730
Total Pages : 226 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Healthcare and COVID-19 by : Parag Chatterjee

Download or read book Artificial Intelligence in Healthcare and COVID-19 written by Parag Chatterjee and published by Elsevier. This book was released on 2023-05-21 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Healthcare and COVID-19 showcases theoretical concepts and implementational and research perspectives surrounding AI. The book addresses both medical and technological visions, making it even more applied. With the advent of COVID-19, it is obvious that leading universities and medical schools must include these topics and case studies in their usual courses of health informatics to keep up with the pace of technological and medical advancements. This book will also serve professors teaching courses and industry practitioners and professionals working in the R&D team of leading medical and informatics companies who want to embrace AI and eHealth to fight COVID-19. Since AI in healthcare is a comparatively new field, there exists a vacuum of literature in this field, especially when applied to COVID-19. With the area of AI in COVID-19 being quite young, students and researchers usually face a struggle to rely on the few published papers (which are obviously too specific) or whitepapers by tech-giants (which are too wide). Discusses the fundamentals and theoretical concepts of applying AI in healthcare pertaining to COVID-19 Provides a landscape view to the applied aspect of AI in healthcare related COVID-19 through case studies and innovative applications Discusses key concerns and challenges in the field of AI in eHealth during the pandemic, along with other allied fields like IoT, creating a broad platform of transdisciplinary discussion

COVID 19 – Monitoring with IoT Devices

Author : Ambika Nagaraj
Publisher : Bentham Science Publishers
ISBN 13 : 9815179462
Total Pages : 229 pages
Book Rating : 4.8/5 (151 download)

DOWNLOAD NOW!

Book Synopsis COVID 19 – Monitoring with IoT Devices by : Ambika Nagaraj

Download or read book COVID 19 – Monitoring with IoT Devices written by Ambika Nagaraj and published by Bentham Science Publishers. This book was released on 2023-11-23 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the battle against the COVID-19 pandemic, the integration of Internet of Things (IoT) technologies has played a pivotal role in reshaping public health and healthcare delivery. Interconnected devices have demonstrated their capacity to collect, transmit, and analyze data, significantly impacting various aspects of pandemic management. COVID-19 – Monitoring with IoT Devices is a comprehensive guide to measuring the impact of COVID-19 infection and monitoring outbreak metrics. Beginning with an introduction to SARS-CoV-2 and its symptoms, the book presents chapters on machine learning (supervised and unsupervised algorithms) and techniques to predict COVID-19 outcomes. The book concludes with the role of IoT technology in detecting COVID-19 infections within a community, showcasing different computing models applicable to specific use-cases. Key Features: Explores the pivotal role of IoT technology in the fight against the COVID-19 pandemic. Covers a data-driven approach to COVID-19 monitoring by explaining methods for data collection, prediction, and analysis. Includes specific recommendations for machine learning algorithms designed for COVID-19 monitoring. Easy-to-read structured chapters suitable for novices in computer science and biomedical engineering. COVID-19 – Monitoring with IoT Devices provides a valuable resource for understanding the role of IoT technology in managing and mitigating the impact of COVID-19, and developing adequate infection control policies. It also showcases the potential of IoT for future research and applications in the healthcare sector. This book is intended for a diverse readership, including academicians, industry professionals, researchers, and healthcare practitioners.

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

Author : Roy, Manikant
Publisher : IGI Global
ISBN 13 : 1799871908
Total Pages : 241 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease by : Roy, Manikant

Download or read book Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease written by Roy, Manikant and published by IGI Global. This book was released on 2021-06-25 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Impact of AI and Data Science in Response to Coronavirus Pandemic

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

DOWNLOAD NOW!

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

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by Springer Nature. This book was released on 2021-07-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Computational Intelligence for Managing Pandemics

Author : Aditya Khamparia
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110712253
Total Pages : 340 pages
Book Rating : 4.1/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence for Managing Pandemics by : Aditya Khamparia

Download or read book Computational Intelligence for Managing Pandemics written by Aditya Khamparia and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-09-07 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Modeling and Data Analysis in COVID-19 Research

Author : Chhabi Rani Panigrahi
Publisher : CRC Press
ISBN 13 : 1000384977
Total Pages : 271 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Computational Modeling and Data Analysis in COVID-19 Research by : Chhabi Rani Panigrahi

Download or read book Computational Modeling and Data Analysis in COVID-19 Research written by Chhabi Rani Panigrahi and published by CRC Press. This book was released on 2021-05-09 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications

Download Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications PDF Online Free

Author : João Valente Cordeiro
Publisher : Frontiers Media SA
ISBN 13 : 2832537049
Total Pages : 291 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications by : João Valente Cordeiro

Download or read book Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications written by João Valente Cordeiro and published by Frontiers Media SA. This book was released on 2023-10-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Business Intelligence and Human Resource Management

Author : Deepmala Singh
Publisher : CRC Press
ISBN 13 : 1000619389
Total Pages : 250 pages
Book Rating : 4.0/5 (6 download)

DOWNLOAD NOW!

Book Synopsis Business Intelligence and Human Resource Management by : Deepmala Singh

Download or read book Business Intelligence and Human Resource Management written by Deepmala Singh and published by CRC Press. This book was released on 2022-08-31 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Intelligence (BI) is a solution to modern business problems. This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions. This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students.

Telemedicine During and Beyond COVID-19

Author : Sonu Bhaskar
Publisher : Frontiers Media SA
ISBN 13 : 2889667391
Total Pages : 111 pages
Book Rating : 4.8/5 (896 download)

DOWNLOAD NOW!

Book Synopsis Telemedicine During and Beyond COVID-19 by : Sonu Bhaskar

Download or read book Telemedicine During and Beyond COVID-19 written by Sonu Bhaskar and published by Frontiers Media SA. This book was released on 2021-05-04 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Epidemiology

Author : Ellen Kuhl
Publisher :
ISBN 13 : 9783030828912
Total Pages : 0 pages
Book Rating : 4.8/5 (289 download)

DOWNLOAD NOW!

Book Synopsis Computational Epidemiology by : Ellen Kuhl

Download or read book Computational Epidemiology written by Ellen Kuhl and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health. If you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health: This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical methods, and probabilistic programming. This book is a personal reflection on the role of data-driven modeling during the COVID-19 pandemic, motivated by the curiosity to understand it.

Applications of Artificial Intelligence in COVID-19

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

DOWNLOAD NOW!

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

Download or read book Applications of Artificial Intelligence in COVID-19 written by Sachi Nandan Mohanty and published by Springer Nature. This book was released on 2021-09-29 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.