Covid 19 Prediction Decision Making And Its Impacts PDF Download
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| Author | : K.C. Santosh |
| Publisher | : Springer Nature |
| Total Pages | : 137 |
| Release | : 2020-12-11 |
| Genre | : Technology & Engineering |
| ISBN | : 9811596824 |
Download COVID-19: Prediction, Decision-Making, and its Impacts Book in PDF, ePub and Kindle
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.
| Author | : Joao Alexandre Lobo Marques |
| Publisher | : Springer Nature |
| Total Pages | : 103 |
| Release | : 2020-11-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3030619133 |
Download Predictive Models for Decision Support in the COVID-19 Crisis Book in PDF, ePub and Kindle
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.
| Author | : Said Ali Hassan |
| Publisher | : Springer Nature |
| Total Pages | : 475 |
| Release | : 2022-02-28 |
| Genre | : Business & Economics |
| ISBN | : 3030870197 |
Download Decision Sciences for COVID-19 Book in PDF, ePub and Kindle
This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises’ productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.
| Author | : Sushruta Mishra |
| Publisher | : Springer Nature |
| Total Pages | : 324 |
| Release | : 2021-07-22 |
| Genre | : Technology & Engineering |
| ISBN | : 981162786X |
Download Impact of AI and Data Science in Response to Coronavirus Pandemic Book in PDF, ePub and Kindle
The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.
| Author | : |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : |
| ISBN | : |
Download COVID-19 Decision-Making Book in PDF, ePub and Kindle
With the emergence of the global COVID-19 pandemic, social purpose-driven organizations are stepping up to A Social Impact Tool the challenge of pivoting their business models to play their role. [...] Now, more than ever, leaders are called upon to for Social Purpose-driven make immediate and profound decisions with far-reaching consequences - and with the potential to accelerate and scale Organizations their social impact ripple into their communities and beyond. [...] As you make this decision, you might consider... 1. Sustainable Community Development: 3. Asset Mobilization: How can we harness How can this decision complement and all our organization's assets to address this accelerate the social, economic, cultural and societal issue? [...] How can we enhance the growth of green 4. Future Generations: How will this decision economy and social economy businesses and improve social and planetary conditions for industries? [...] As you make this decision, you might consider... 6. Society Transformation: How can we 9. Diversity and Inclusion: In this decision, challenge the status quo for the benefit of all are we applying fair and just treatment of all through the decisions we make?
| Author | : Loïc Berger |
| Publisher | : |
| Total Pages | : |
| Release | : 2020 |
| Genre | : |
| ISBN | : |
Download Uncertainty and Decision-making During a Crisis Book in PDF, ePub and Kindle
| Author | : Diego Oliva |
| Publisher | : Springer Nature |
| Total Pages | : 594 |
| Release | : 2021-07-19 |
| Genre | : Technology & Engineering |
| ISBN | : 3030697444 |
Download Artificial Intelligence for COVID-19 Book in PDF, ePub and Kindle
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
| Author | : Joao Alexandre Lobo Marques |
| Publisher | : Springer Nature |
| Total Pages | : 161 |
| Release | : 2022-05-20 |
| Genre | : Technology & Engineering |
| ISBN | : 3030952819 |
Download Epidemic Analytics for Decision Supports in COVID19 Crisis Book in PDF, ePub and Kindle
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.
| Author | : Joao Alexandre Lobo Marques |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9783030619145 |
Download Predictive Models for Decision Support in the COVID-19 Crisis Book in PDF, ePub and Kindle
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.
| Author | : Arturas Kaklauskas |
| Publisher | : Academic Press |
| Total Pages | : 468 |
| Release | : 2022-06-18 |
| Genre | : Medical |
| ISBN | : 0323999441 |
Download Lessons from COVID-19 Book in PDF, ePub and Kindle
Lessons from COVID-19: Impact on Healthcare Systems and Technology uncovers the impact that COVID-19 has made on healthcare and technology industries. State-of-the-art case studies, empirical research, and new trends in technology-mediated solution are discussed to help inform and guide readers in understanding the effects that the COVID-19 outbreak has had across healthcare and technology industries. The book discusses challenges to identify vaccines, changes in legislation on clinical trials and re-purposing of licensed drugs, effects on primary healthcare, best practices adopted by different countries to control the pandemic, and different effects on patients within diverse age groups and comorbidities. In addition, the book covers technology-mediated solutions and infrastructures applied, digital transformations, modeling techniques, statistical projections, and the benefits and use of cloud computing and artificial intelligence. This is a valuable resource for healthcare professionals, medical doctors, researchers and graduate students from both biomedical and technological fields who are interested in learning more about the use of new technologies to fight a pandemic. Discusses the effects of COVID-19 on healthcare and technology Presents case studies and state-of-the-art research and technologies to help readers effectively understand the effects of COVID-19 Empowers researchers to work on effective hypothesis to test the disruptions and changes that have occurred as a result of COVID-19 Bridges practical and theoretical gaps in terms of lessons learned during COVID-19 in the healthcare and technology sectors
