Predictive Models For Decision Support In The Covid 19 Crisis

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Predictive Models for Decision Support in the COVID-19 Crisis

Author : Joao Alexandre Lobo Marques
Publisher : Springer Nature
ISBN 13 : 3030619133
Total Pages : 103 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Predictive Models for Decision Support in the COVID-19 Crisis by : Joao Alexandre Lobo Marques

Download or read book Predictive Models for Decision Support in the COVID-19 Crisis written by Joao Alexandre Lobo Marques and published by Springer Nature. This book was released on 2020-11-30 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.

Predictive Models for Decision Support in the COVID-19 Crisis

Author : Joao Alexandre Lobo Marques
Publisher :
ISBN 13 : 9783030619145
Total Pages : 0 pages
Book Rating : 4.6/5 (191 download)

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Book Synopsis Predictive Models for Decision Support in the COVID-19 Crisis by : Joao Alexandre Lobo Marques

Download or read book Predictive Models for Decision Support in the COVID-19 Crisis written by Joao Alexandre Lobo Marques and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.

5th World Congress on Disaster Management: Volume III

Author : S. Ananda Babu
Publisher : Taylor & Francis
ISBN 13 : 1000879577
Total Pages : 369 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis 5th World Congress on Disaster Management: Volume III by : S. Ananda Babu

Download or read book 5th World Congress on Disaster Management: Volume III written by S. Ananda Babu and published by Taylor & Francis. This book was released on 2023-02-16 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: World Congress on Disaster Management (WCDM) brings researchers, policy makers and practitioners from around the world in the same platform to discuss various challenging issues of disaster risk management, enhance understanding of risks and advance actions for reducing risks and building resilience to disasters. The fifth WCDM deliberates on three critical issues that pose the most serious challenges as well as hold the best possible promise of building resilience to disasters. These are Technology, Finance, and Capacity. WCDM has emerged as the largest global conference on disaster management outside the UN system. The fifth WCDM was attended by more than 2500 scientists, professionals, policy makers, practitioners all around the world despite the prevalence of pandemic.

Epidemic Analytics for Decision Supports in COVID19 Crisis

Author : Joao Alexandre Lobo Marques
Publisher : Springer Nature
ISBN 13 : 3030952819
Total Pages : 161 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Epidemic Analytics for Decision Supports in COVID19 Crisis by : Joao Alexandre Lobo Marques

Download or read book Epidemic Analytics for Decision Supports in COVID19 Crisis written by Joao Alexandre Lobo Marques and published by Springer Nature. This book was released on 2022-05-20 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations. Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.

Computerized Systems for Diagnosis and Treatment of COVID-19

Author : Joao Alexandre Lobo Marques
Publisher : Springer Nature
ISBN 13 : 3031307887
Total Pages : 210 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Computerized Systems for Diagnosis and Treatment of COVID-19 by : Joao Alexandre Lobo Marques

Download or read book Computerized Systems for Diagnosis and Treatment of COVID-19 written by Joao Alexandre Lobo Marques and published by Springer Nature. This book was released on 2023-06-26 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.

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)

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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.

Numerical Methods for Unconstrained Optimization and Nonlinear Equations

Author : J. E. Dennis, Jr.
Publisher : SIAM
ISBN 13 : 9781611971200
Total Pages : 394 pages
Book Rating : 4.9/5 (712 download)

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Book Synopsis Numerical Methods for Unconstrained Optimization and Nonlinear Equations by : J. E. Dennis, Jr.

Download or read book Numerical Methods for Unconstrained Optimization and Nonlinear Equations written by J. E. Dennis, Jr. and published by SIAM. This book was released on 1996-12-01 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has become the standard for a complete, state-of-the-art description of the methods for unconstrained optimization and systems of nonlinear equations. Originally published in 1983, it provides information needed to understand both the theory and the practice of these methods and provides pseudocode for the problems. The algorithms covered are all based on Newton's method or "quasi-Newton" methods, and the heart of the book is the material on computational methods for multidimensional unconstrained optimization and nonlinear equation problems. The republication of this book by SIAM is driven by a continuing demand for specific and sound advice on how to solve real problems. The level of presentation is consistent throughout, with a good mix of examples and theory, making it a valuable text at both the graduate and undergraduate level. It has been praised as excellent for courses with approximately the same name as the book title and would also be useful as a supplemental text for a nonlinear programming or a numerical analysis course. Many exercises are provided to illustrate and develop the ideas in the text. A large appendix provides a mechanism for class projects and a reference for readers who want the details of the algorithms. Practitioners may use this book for self-study and reference. For complete understanding, readers should have a background in calculus and linear algebra. The book does contain background material in multivariable calculus and numerical linear algebra.

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning

Author : Segall, Richard S.
Publisher : IGI Global
ISBN 13 : 1799884570
Total Pages : 394 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning by : Segall, Richard S.

Download or read book Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning written by Segall, Richard S. and published by IGI Global. This book was released on 2022-01-07 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines.

Data Science and Business Intelligence for Corporate Decision-Making

Author : Dr. P. S. Aithal
Publisher : Srinivas Publication, Mangalore
ISBN 13 : 9394676449
Total Pages : 222 pages
Book Rating : 4.3/5 (946 download)

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Book Synopsis Data Science and Business Intelligence for Corporate Decision-Making by : Dr. P. S. Aithal

Download or read book Data Science and Business Intelligence for Corporate Decision-Making written by Dr. P. S. Aithal and published by Srinivas Publication, Mangalore. This book was released on 2024-02-09 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: About the Book: A comprehensive book plan on "Data Science and Business Intelligence for Corporate Decision-Making" with 15 chapters, each with several sections: Chapter 1: Introduction to Data Science and Business Intelligence Chapter 2: Foundations of Data Science Chapter 3: Business Intelligence Tools and Technologies Chapter 4: Data Visualization for Decision-Making Chapter 5: Machine Learning for Business Intelligence Chapter 6: Big Data Analytics Chapter 7: Data Ethics and Governance Chapter 8: Data-Driven Decision-Making Process Chapter 9: Business Intelligence in Marketing Chapter 10: Financial Analytics and Business Intelligence Chapter 11: Operational Excellence through Data Analytics Chapter 12: Human Resources and People Analytics Chapter 13: Case Studies in Data-Driven Decision-Making Chapter 14: Future Trends in Data Science and Business Intelligence Chapter 15: Implementing Data Science Strategies in Corporations Each chapter dives deep into the concepts, methods, and applications of data science and business intelligence, providing practical insights, real-world examples, and case studies for corporate decision-making processes.

Proceedings of the 7th Brazilian Technology Symposium (BTSym’21)

Author : Yuzo Iano
Publisher : Springer Nature
ISBN 13 : 3031044355
Total Pages : 655 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Proceedings of the 7th Brazilian Technology Symposium (BTSym’21) by : Yuzo Iano

Download or read book Proceedings of the 7th Brazilian Technology Symposium (BTSym’21) written by Yuzo Iano and published by Springer Nature. This book was released on 2022-07-19 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the Proceedings of The 7th Brazilian Technology Symposium (BTSym'21). The book discusses current technological issues on Systems Engineering, Mathematics and Physical Sciences, such as the Transmission Line, Protein-modified mortars, Electromagnetic Properties, Clock Domains, Chebyshev Polynomials, Satellite Control Systems, Hough Transform, Watershed Transform, Blood Smear Images, Toxoplasma Gondi, Operation System Developments, MIMO Systems, Geothermal-Photovoltaic Energy Systems, Mineral Flotation Application, CMOS Techniques, Frameworks Developments, Physiological Parameters Applications, Brain Computer Interface, Artificial Neural Networks, Computational Vision, Security Applications, FPGA Applications, IoT, Residential Automation, Data Acquisition, Industry 4.0, Cyber-Physical Systems, Digital Image Processing, Patters Recognition, Machine Learning, Photocatalytic Process, Physical-chemical analysis, Smoothing Filters, Frequency Synthesizers, Voltage Controlled Ring Oscillator, Difference Amplifier, Photocatalysis, Photodegradation, current technological issues on Human, Smart and Sustainable Future of Cities, such as the Digital Transformation, Data Science, Hydrothermal Dispatch, Project Knowledge Transfer, Immunization Programs, Efficiency and Predictive Methods, PMBOK Applications, Logistics Process, IoT, Data Acquisition, Industry 4.0, Cyber-Physical Systems, Fingerspelling Recognition, Cognitive Ergonomics, Ecosystem services, Environmental, Ecosystem services valuation, Solid Waste and University Extension.

Anesthetic and Critical Care Amid the COVID-19 Pandemic

Author : Ru-Ping Dai
Publisher : Frontiers Media SA
ISBN 13 : 2889762343
Total Pages : 331 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Anesthetic and Critical Care Amid the COVID-19 Pandemic by : Ru-Ping Dai

Download or read book Anesthetic and Critical Care Amid the COVID-19 Pandemic written by Ru-Ping Dai and published by Frontiers Media SA. This book was released on 2022-07-25 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mental Illness, Culture, and Society: Dealing With the COVID-19 Pandemic

Author : Mohammadreza Shalbafan
Publisher : Frontiers Media SA
ISBN 13 : 2832508154
Total Pages : 440 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Mental Illness, Culture, and Society: Dealing With the COVID-19 Pandemic by : Mohammadreza Shalbafan

Download or read book Mental Illness, Culture, and Society: Dealing With the COVID-19 Pandemic written by Mohammadreza Shalbafan and published by Frontiers Media SA. This book was released on 2022-12-01 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Deep Learning in Personalized Healthcare and Decision Support

Author : Harish Garg
Publisher : Elsevier
ISBN 13 : 0443194149
Total Pages : 402 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Deep Learning in Personalized Healthcare and Decision Support by : Harish Garg

Download or read book Deep Learning in Personalized Healthcare and Decision Support written by Harish Garg and published by Elsevier. This book was released on 2023-07-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. - Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management - Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way - Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies

Interaction between coronavirus and hosts

Author : Yu Chen
Publisher : Frontiers Media SA
ISBN 13 : 2832526810
Total Pages : 230 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Interaction between coronavirus and hosts by : Yu Chen

Download or read book Interaction between coronavirus and hosts written by Yu Chen and published by Frontiers Media SA. This book was released on 2023-06-21 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Digital Technologies and Applications

Author : Saad Motahhir
Publisher : Springer Nature
ISBN 13 : 3031019423
Total Pages : 867 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Digital Technologies and Applications by : Saad Motahhir

Download or read book Digital Technologies and Applications written by Saad Motahhir and published by Springer Nature. This book was released on 2022-05-07 with total page 867 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents Volume 1 of selected research papers presented at the Second International Conference on Digital Technologies and Applications (ICDTA 22), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on January 28–29, 2022. This book highlights the latest innovations in digital technologies as: artificial intelligence, Internet of Things, embedded systems, network technology, information processing and their applications in several areas as hybrid vehicles, renewable energy, mechatronics, medicine... This book will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

Public Health and Informatics

Author : J. Mantas
Publisher : IOS Press
ISBN 13 : 1643681850
Total Pages : 1184 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Public Health and Informatics by : J. Mantas

Download or read book Public Health and Informatics written by J. Mantas and published by IOS Press. This book was released on 2021-07 with total page 1184 pages. Available in PDF, EPUB and Kindle. Book excerpt: For several years now, both eHealth applications and digitalization have been seen as fundamental to the new era of health informatics and public health. The current pandemic situation has also highlighted the importance of medical informatics for the scientific process of evidence-based reasoning and decision making at all levels of healthcare. This book presents the accepted full papers, short papers, and poster papers delivered as part of the 31st Medical Informatics in Europe Conference (MIE 2021), held virtually from 29-31 May 2021. MIE 2021 was originally due to be held in Athens, Greece, but due to the continuing pandemic situation, the conference was held as a virtual event. The 261 papers included here are grouped into 7 chapters: biomedical data, tools and methods; supporting care delivery; health and prevention; precision medicine and public health; human factors and citizen centered digital health; ethics, legal and societal aspects; and posters. Providing a state-of-the-art overview of medical informatics from around the world, the book will be of interest to all those working with eHealth applications and digitalization to improve the delivery of healthcare today.

The Business of Pandemics

Author : Jay Liebowitz
Publisher : CRC Press
ISBN 13 : 1000203913
Total Pages : 222 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis The Business of Pandemics by : Jay Liebowitz

Download or read book The Business of Pandemics written by Jay Liebowitz and published by CRC Press. This book was released on 2020-11-18 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nations and businesses across the globe have been working through the difficulties of dealing with the COVID-19 pandemic. Industry, academia, NGOs, and governments have been "feverishly" searching for ways to address this deadly virus, which may continue to spread for at least the next year and perhaps beyond (in terms of a resurgence and different strains). From a business standpoint, there have been dramatic effects on logistics and supply chains, economic downfalls, bailouts of major industries and small businesses, and far-reaching calamities from around the world. Even though the COVID-19 story is still in its making, this book focuses on the business of pandemics as applied to COVID-19. The book brings together a global panel of experts across industries and NGOs to help guide business executives and managers through the complex array of issues affecting business in the time of a pandemic. Offering solutions to the business of pandemics as applied to COVID-19, the book is written for organizational decision makers and leaders, as well as those involved in crisis management, public health, and related fields. Its chapters focus on key areas that relate to the business of pandemics, including Lessons learned to date Big data and simulation Logistics and supply-chain management challenges Conducting global business virtually Global economic impact Media and risk communication IT infrastructure and networking Social impact Online learning and educational innovations The new work-from-home environment Re-opening markets and businesses Crisis decision making using analytics and intuition With chapters authored by experts from leading organizations, including the World Health Organization, the RAND Corporation, and various universities throughout the world, The Business of Pandemics: The COVID-19 Story provides high-level guidance and insight for business leaders who must deal with the complexities and challenges presented by this unprecedented crisis.