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.

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.

Download or read book Decision Sciences for COVID 19 written by Said Ali Hassan and published by Springer Nature. This book was released on 2022-02-28 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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.

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.

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.

Download or read book COVID 19 Decision Making written by and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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?

Download or read book Uncertainty and Decision making During a Crisis written by Loïc Berger and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Download or read book Lessons from COVID 19 written by Arturas Kaklauskas and published by Academic Press. This book was released on 2022-06-18 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Confronting Covid 19 A Strategic Playbook for Leaders and Decision Makers written by Devadas Krishnadas and published by Marshall Cavendish International Asia Pte Ltd. This book was released on 2020-10-30 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVID-19 is the most challenging crisis the world has faced for almost a century. As a truly global pandemic, there is not a single country on earth – or even a single person – immune to the economic, political and social impact of the devastating virus. This book analyses the coronavirus crisis in unparalleled depth. The author begins in section one by framing the COVID-19 pandemic by categorically identifying variables and factors central to understanding how COVID-19 has panned out. This is followed in section two with an examination of the pandemic in the realms of politics, public health and economics .Section three comprises in-depth country case studies, complete with scenario mapping and a formulation of recommendations, before section four looks beyond the immediate imperatives of the ongoing pandemic and pictures our shared future in a 'post-Covid' world. Confronting COVID-19's combination of rigorous, evidence-based analyses, projections and actionable recommendations makes this a must-read book for all leaders and decision makers in public, private and community sectors. Most of all, the ideas presented within these pages command the urgent attention of those within the international policy-making community.

Download or read book Impacts and Implications of COVID 19 written by Anand Sharma and published by Nova Science Publishers. This book was released on 2021 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Impacts and Implications of COVID-19: An Analytical and Empirical Study describes the most recent research developments regarding COVID-19. This book includes a wide range of interdisciplinary submissions that address the latest findings regarding a wide variety of psychological, social, managerial, and technological issues for fighting COVID-19. Chapter One discusses how machine learning applies to prediction, forecasting, screening, contact tracing, treatment, medication and the drug or vaccine invention process in connection with COVID-19. Chapter Two deals with immunomodulatory therapy for clinical management of COVID-19 patients. Chapter Three describes the importance of social distancing and the development of a tool to detect social distancing. Chapter Four discusses the impact of COVID-19 on the education sector, and Chapter Five focuses on the impacts of COVID-19 on employment, e-commerce, and e-pharmacies. Chapter Six gives an insight into the policies regarding COVID-19 in India, and Chapter Seven compares vaccine candidates based on their status in trial phases, route of administration, dosage, efficacy, and safety. Chapter Eight explores how the pandemic has impacted human communication and relationships, as people have been forced to interact in the digital space rather than the physical one. Chapter Nine describes the urgent need to devise sustainable and effective strategies to mitigate the problems relating to shortages of labor and equipment in the agricultural sector due to the pandemic. Finally, Chapter Ten describes the role of physical therapy in the recovery of COVID-19 patients"--

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.

Download or read book Artificial Intelligence Applications in a Pandemic written by Salah-ddine Krit and published by CRC Press. This book was released on 2021-03-18 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: COVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we come across myriad challenges during this pandemic. Scientists and developers are learning and finding a way to use artificial intelligence applications and natural language processing to comprehend and tackle this disease. AI technologies are playing an important role in the response to the COVID-19 pandemic. Experts are using all possible tools to study the virus, diagnose individuals, and analyze the public health impacts. This book is a collection of some of the leading efforts related to AI and COVID-19 focused on finding how AI can be helpful in monitoring the situation from early warnings, swift emergency responses, and critical decision-making. It discusses the use of machine learning and how it may help to reduce the impacts of this pandemic in conjunction with all other research and strategies going on. The book serves as a technical resource of data analytics and AI applications in tracking infectious diseases. It will serve academics, students, data scientists, medical practitioners, and anybody managing a global pandemic. Features: Directs the attention to the smart digital healthcare system in this COVID-19 pandemic. Simulates novel investigations and how they will be beneficial in understanding the pandemic. Presents the latest ideas developed for data scientists, doctors, engineers, and economists. Analyses the various issues related to computing, AI apps, big data analytic techniques, and predictive scientific skill gaps. Explains some interesting and diverse types of challenges and data-driven healthcare applications.

Download or read book Robust Decision Making in Health Policy written by Pedro Nascimento de Lima and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic demonstrated the value of modeling to inform health policy. Models were used to provide situational awareness and inform mitigation policies. However, uncertainty surrounding the longevity of vaccine and infection-induced immunity, the emergence and characteristics of SARS-CoV-2 variant strains, and behavioral responses to policy interventions prevent modelers from providing more than a few weeks of model-based foresight. Under those conditions, policymakers have options to control the pandemic, but deep uncertainties deny the prediction of their long-term effects. Robust Decision Making (RDM) is a set of methods and tools designed to inform decisions under conditions of deep uncertainty. This dissertation presents three papers exploring the utility of RDM for supporting health policy decisions. The first paper discusses how public health decision-makers may benefit from RDM, using pandemic response policies as a motivating example. The second paper presents a stress test of California's COVID-19 reopening strategy, demonstrating that adaptive reopening plans are superior to non-adaptive ones. The third evaluates the robustness of colorectal cancer screening strategies to uncertainties surrounding the natural history of the disease. Finally, this dissertation reflects on the broader applicability of RDM to health policy decision-analytic problems and reflects on future research directions.

Download or read book Sustaining lives and livelihoods written by and published by World Health Organization. This book was released on 2021-02-15 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social and physical distancing and restrictions on international travel (thereafter “social and movement measures”) have been introduced to reduce the risk of acquiring or spreading infection with COVID-19 in various community settings. Whilst the risk of infection to COVID-19 decreases, social and movement measures exacerbate the economic slowdown and can worsen socioeconomic inequalities. Calibrating social and movement measures is complex as it has direct and indirect health and economic impacts, across different subpopulations, now and in the future, and is characterized by uncertainty, urgency, need for multiple levels of decision-making. In this type of context, there is no one-size-fits-all strategy. But inclusive decision making, systematically informed by data and communicated clearly will promote transparency in the process, increase the legitimacy of the decisions and promote trust between the population and the decision-makers. The World Health Organization and the Organisation for Economic Co-operation and Development describe, in their joint publication, a decision framework to assist countries as they continue to calibrate social and movement measures until there is widespread population coverage with the vaccine.

Download or read book The Learning Healthcare System written by Institute of Medicine and published by National Academies Press. This book was released on 2007-06-01 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: As our nation enters a new era of medical science that offers the real prospect of personalized health care, we will be confronted by an increasingly complex array of health care options and decisions. The Learning Healthcare System considers how health care is structured to develop and to apply evidence-from health profession training and infrastructure development to advances in research methodology, patient engagement, payment schemes, and measurement-and highlights opportunities for the creation of a sustainable learning health care system that gets the right care to people when they need it and then captures the results for improvement. This book will be of primary interest to hospital and insurance industry administrators, health care providers, those who train and educate health workers, researchers, and policymakers. The Learning Healthcare System is the first in a series that will focus on issues important to improving the development and application of evidence in health care decision making. The Roundtable on Evidence-Based Medicine serves as a neutral venue for cooperative work among key stakeholders on several dimensions: to help transform the availability and use of the best evidence for the collaborative health care choices of each patient and provider; to drive the process of discovery as a natural outgrowth of patient care; and, ultimately, to ensure innovation, quality, safety, and value in health care.