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Building A Platform For Data Driven Pandemic Prediction

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Building A Platform For Data Driven Pandemic Prediction

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Author : Dani Gamerman
language : en
Publisher: CRC Press
Release Date : 2021-09-14

Building A Platform For Data Driven Pandemic Prediction written by Dani Gamerman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Medical categories.

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.

Building A Platform For Data Driven Pandemic Prediction

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Author : Dani Gamerman
language : en
Publisher: CRC Press
Release Date : 2021-09-13

Data Driven Decision Support System In Intelligent Healthcare

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Author : Debnath Bhattacharyya
language : en
Publisher: CRC Press
Release Date : 2025-08-12

Data Driven Decision Support System In Intelligent Healthcare written by Debnath Bhattacharyya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Computers categories.

Machine Intelligence with Generative AI is one of the most trending topics with applications in almost all fields of life. In healthcare, it is not only accelerating the development of new products, but also automating the generation of new and synthetic content making it easier to train and improve machine learning models. Some of the biggest achievements of Generative AI in healthcare have been drug discovery, personalized care, differentially private synthetic data generation, operational efficiency, and many more. Generative AI models like Generative Adversarial Networks, and Variational Autoencoders are employed to generate synthetic medical images, aiding in data augmentation, facilitating disease diagnosis, and enabling advanced medical imaging research. Additionally, Generative AI techniques are being utilized for creating realistic electronic health records (EHRs) and simulated patient data, supporting privacy-preserving data sharing, and empowering innovative studies for personalized medicine and drug development. NLP models like ClinicalBERT use transformer-based deep learning architecture to understand and represent contextual information in large clinical text datasets, such as electronic health records (EHRs) and medical literature, and can better grasp medical terminologies, domain-specific language, and contextual nuances that are unique to the healthcare field. This volume delves into the realm of Machine Intelligence with Generative AI and explores its impact on the healthcare industry.

Pandemic Detection And Analysis Through Smart Computing Technologies

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Author : Ram Shringar Raw
language : en
Publisher: CRC Press
Release Date : 2022-07-07

Pandemic Detection And Analysis Through Smart Computing Technologies written by Ram Shringar Raw and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Computers categories.

This powerful new volume explores the diverse and sometimes unexpected roles that IoT and AI technologies played during the recent COVID-19 global pandemic. The book discusses the how existing and new state-of-the art technology has been and can be applied for global health crises in a multitude of ways. The chapters in Pandemic Detection and Analysis through Smart Computing Technologies look at exciting technological solutions for virus detection, prediction, classification, prevention, and communication outreach. The book considers the various modes of transmission of the virus as well as how technology has been implemented for personalized healthcare systems and how it can be used for future pandemics. The huge importance of social and mobile communication and networks during the pandemic is addressed such as in business, education, and healthcare; in research and development; for health information and outreach; in social life; and more. A chapter also addresses using smart computing for forecasting the damage caused by COVID-19 using time series analyses. This up-to-the-minute volume illuminates on the many ways AI, IoT, machine learning, and other technologies have important roles in the diverse challenges faced during COVID-19 and how they can be enhanced for future pandemic situations. The volume will be of high interest to those in different fields of computer science and other domains as well as to data scientists, government agencies and policymakers, doctors and healthcare professionals, engineers, economists, and many other professionals. This book will also be very helpful to faculty, students, and research scholars in understanding the pre- and post-effect of this pandemic.

Data Science With Semantic Technologies

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Author : Archana Patel
language : en
Publisher: CRC Press
Release Date : 2023-06-20

Data Science With Semantic Technologies written by Archana Patel and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Computers categories.

Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do. Data Science with Semantic Technologies: Deployment and Exploration, the second volume of a two-volume handbook set, provides a roadmap for the deployment of semantic technologies in the field of data science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame. In addition, this book offers the answer to various questions like: What makes a technology semantic as opposed to other approaches to data science? What is knowledge data science? How does knowledge data science relate to other fields? This book explores the optimal use of these technologies to provide the highest benefit to the user under one comprehensive source and title. As there is no dedicated book available in the market on this topic at this time, this book becomes a unique resource for scholars, researchers, data scientists, professionals, and practitioners. This volume can serve as an important guide toward applications of data science with semantic technologies for the upcoming generation.

Reimagining Tax And Advisory Services Intelligent Systems Security And Data Driven Decision Making

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Author : Pallav Kumar Kaulwar
language : en
Publisher: Deep Science Publishing
Release Date : 2025-05-07

Reimagining Tax And Advisory Services Intelligent Systems Security And Data Driven Decision Making written by Pallav Kumar Kaulwar and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Business & Economics categories.

The tax and advisory landscape is undergoing a profound transformation. Rapid advancements in artificial intelligence (AI), data analytics, and cybersecurity are redefining how professionals deliver value in an increasingly complex regulatory and financial environment. This book, Reimagining Tax and Advisory Services: Intelligent Systems, Security, and Data-Driven Decision Making, explores how digital intelligence is reshaping the traditional roles of tax advisors, auditors, and financial consultants. As regulatory frameworks evolve and businesses demand faster, more accurate insights, the need for real-time, data-driven decision making has never been greater. Intelligent systems—powered by AI, machine learning, and robotic process automation—are now capable of analyzing vast datasets, interpreting tax laws, and offering predictive insights with a speed and precision that far surpass human capabilities. These technologies are not just enhancing productivity; they are reimagining the core functions of tax and advisory services. This book takes a multidimensional approach to understanding this shift. It explores how secure, intelligent platforms are enabling seamless compliance, fraud detection, and strategic financial planning. It also examines how cybersecurity, data governance, and ethical AI are essential pillars in building client trust and maintaining the integrity of advisory services in a digital-first world. From intelligent tax engines to automated audit trails, and from AI-powered client advisory portals to integrated DevSecOps practices, we present a future-ready blueprint for firms looking to thrive in the age of digital finance. Real-world use cases, emerging trends, and actionable frameworks offer both strategic guidance and practical tools for professionals navigating this complex transition. Whether you are a tax consultant, financial advisor, IT architect, or decision-maker in a professional services firm, this book offers a timely lens into the technologies and principles driving innovation in the sector. Our aim is not just to inform—but to inspire a reinvention of tax and advisory services for the intelligent, secure, and data-driven era ahead.

Healthcare Informatics For Fighting Covid 19 And Future Epidemics

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Author : Lalit Garg
language : en
Publisher: Springer Nature
Release Date : 2021-09-01

Healthcare Informatics For Fighting Covid 19 And Future Epidemics written by Lalit Garg and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Technology & Engineering categories.

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

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Author : Parag Chatterjee
language : en
Publisher: Elsevier
Release Date : 2023-05-21

Artificial Intelligence In Healthcare And Covid 19 written by Parag Chatterjee and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-21 with Computers categories.

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

Computer Supported Cooperative Work And Social Computing

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Author : Yuqing Sun
language : en
Publisher: Springer Nature
Release Date : 2022-07-21

Computer Supported Cooperative Work And Social Computing written by Yuqing Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-21 with Computers categories.

The two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021. The conference was held in a hybrid mode i.e. online and on-site in Xiangtan due to the COVID-19 crisis. The 65 revised full papers and 22 revised short papers were carefully reviewed and selected from 242 submissions. The papers are organized in the following topical sections: Volume I: Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications; Volume II: Crowd Intelligence and Crowd Cooperative Computing; Social Media and Online Communities.

Microbial Resolution

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Author : Gloria Chan-Sook Kim
language : en
Publisher: U of Minnesota Press
Release Date : 2024-06-18

Microbial Resolution written by Gloria Chan-Sook Kim and has been published by U of Minnesota Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-18 with Science categories.

Why the global health project to avert emerging microbes continually fails In 1989, a group of U.S. government scientists met to discuss some surprising findings: new diseases were appearing around the world, and viruses that they thought long vanquished were resurfacing. Their appearance heralded a future perpetually threatened by unforeseeable biological risks, sparking a new concept of disease: the “emerging microbe.” With the Cold War nearing its end, American scientists and security experts turned to confront this new “enemy,” redirecting national security against its risky horizons. In order to be fought, emerging microbes first needed to be made perceptible; but how could something immaterial, unknowable, and ever mutating be coaxed into visibility, knowability, and operability? Microbial Resolution charts the U.S.-led war on the emerging microbe to show how their uncertain futures were transformed into objects of global science and security. Moving beyond familiar accounts that link scientific knowledge production to optical practices of visualizing the invisible, Gloria Chan-Sook Kim develops a theory of “microbial resolution” to analyze the complex problematic that arises when dealing with these entities: what can be seen when there is nothing to see? Through a syncretic analysis of data mining, animal-tracking technologies, media networks, computer-modeled futures, and global ecologies and infrastructures, she shows how a visual impasse—the impossibility of seeing microbial futures—forms the basis for new modes of perceiving, knowing, and governing in the present. Timely and thought provoking, Microbial Resolution opens up the rich paradoxes, irreconcilabilities, and failures inherent in this project and demonstrates how these tensions profoundly animate twenty-first-century epistemologies, aesthetics, affects, and ecologies.

Building A Platform For Data Driven Pandemic Prediction

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