Covid 19 Prediction Decision Making And Its Impacts
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Covid 19 Prediction Decision Making And Its Impacts
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Author : K.C. Santosh
language : en
Publisher: Springer Nature
Release Date : 2020-12-11
Covid 19 Prediction Decision Making And Its Impacts written by K.C. Santosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-11 with Technology & Engineering categories.
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.
Predictive Models For Decision Support In The Covid 19 Crisis
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Author : Joao Alexandre Lobo Marques
language : en
Publisher: Springer Nature
Release Date : 2020-11-30
Predictive Models For Decision Support In The Covid 19 Crisis written by Joao Alexandre Lobo Marques and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Technology & Engineering categories.
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.
Decision Sciences For Covid 19
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Author : Said Ali Hassan
language : en
Publisher: Springer Nature
Release Date : 2022-02-28
Decision Sciences For Covid 19 written by Said Ali Hassan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-28 with Business & Economics categories.
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.
Impact Of Ai And Data Science In Response To Coronavirus Pandemic
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Author : Sushruta Mishra
language : en
Publisher: Springer Nature
Release Date : 2021-07-22
Impact Of Ai And Data Science In Response To Coronavirus Pandemic written by Sushruta Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-22 with Technology & Engineering categories.
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.
Epidemic Analytics For Decision Supports In Covid19 Crisis
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Author : Joao Alexandre Lobo Marques
language : en
Publisher: Springer Nature
Release Date : 2022-05-20
Epidemic Analytics For Decision Supports In Covid19 Crisis written by Joao Alexandre Lobo Marques and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-20 with Technology & Engineering categories.
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.
Lessons From Covid 19
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Author : Arturas Kaklauskas
language : en
Publisher: Academic Press
Release Date : 2022-06-18
Lessons From Covid 19 written by Arturas Kaklauskas and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-18 with Medical categories.
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
Confronting Covid 19 A Strategic Playbook For Leaders And Decision Makers
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Author : Devadas Krishnadas
language : en
Publisher: Marshall Cavendish International Asia Pte Ltd
Release Date : 2020-10-30
Confronting Covid 19 A Strategic Playbook For Leaders And Decision Makers written by Devadas Krishnadas and has been published by Marshall Cavendish International Asia Pte Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-30 with Political Science categories.
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.
Sustaining Lives And Livelihoods
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Author :
language : en
Publisher: World Health Organization
Release Date : 2021-02-15
Sustaining Lives And Livelihoods written by and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-15 with Social Science categories.
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.
Artificial Intelligence Applications In A Pandemic
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Author : Salah-ddine Krit
language : en
Publisher: CRC Press
Release Date : 2021-03-18
Artificial Intelligence Applications In A Pandemic written by Salah-ddine Krit and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-18 with Computers categories.
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.
Predictive Models For Decision Support In The Covid 19 Crisis
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Author : Joao Alexandre Lobo Marques
language : en
Publisher:
Release Date : 2021
Predictive Models For Decision Support In The Covid 19 Crisis written by Joao Alexandre Lobo Marques and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
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.