Advanced Data Analytics in Health, Giabbanelli Philippe J., Mago Vijay K., Papageorgiou Elpiniki I.
Автор: Giabbanelli Название: Advanced Data Analytics in Health ISBN: 3319779109 ISBN-13(EAN): 9783319779102 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning. The diversity of datasets is illustrated through chapters on networked data, image processing, and text, in addition to typical structured numerical datasets. While the methods, types of data, and scale have been individually covered elsewhere, by bringing them all together under one “umbrella” the book highlights synergies, while also helping scholars fluidly switch between tools as needed. New challenges and emerging frontiers are also discussed, helping scholars grasp how methods will need to change in response to the latest challenges in health.
Описание: Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. This book is your guide to getting ...
Автор: Bouarara Hadj Ahmed Название: Advanced Deep Learning Applications in Big Data Analytics ISBN: 1799827917 ISBN-13(EAN): 9781799827917 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 30723.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today's digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.
Автор: Bouarara Hadj Ahmed Название: Advanced Deep Learning Applications in Big Data Analytics ISBN: 1799827925 ISBN-13(EAN): 9781799827924 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 23199.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is designed for engineers, data analysts, data scientists, IT specialists, marketers, researchers, academics, and students.
Автор: Bhaduri Название: Advanced Business Analytics ISBN: 9811007268 ISBN-13(EAN): 9789811007262 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present book provides an enterprise-wide guide for anyone interested in pursuing analytic methods in order to compete effectively. It supplements more general texts on statistics and data mining by providing an introduction from leading practitioners in business analytics and real case studies of firms using advanced analytics to gain a competitive advantage in the marketplace. In the era of “big data” and competing analytics, this book provides practitioners applying business analytics with an overview of the quantitative strategies and techniques used to embed analysis results and advanced algorithms into business processes and create automated insight-driven decisions within the firm. Numerous studies have shown that firms that invest in analytics are more likely to win in the marketplace. Moreover, the Internet of Everything (IoT) for manufacturing and social-local-mobile (SOLOMO) for services have made the use of advanced business analytics even more important for firms. These case studies were all developed by real business analysts, who were assigned the task of solving a business problem using advanced analytics in a way that competitors were not. Readers learn how to develop business algorithms on a practical level, how to embed these within the company and how to take these all the way to implementation and validation.
Автор: Fausto Pedro Garc?a M?rquez; Benjamin Lev Название: Advanced Business Analytics ISBN: 331911414X ISBN-13(EAN): 9783319114149 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management.
Автор: Fausto Pedro Garc?a M?rquez; Benjamin Lev Название: Advanced Business Analytics ISBN: 3319358405 ISBN-13(EAN): 9783319358406 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management.
Автор: Wade, Ryan Название: Advanced analytics in power bi with r and python ISBN: 1484258282 ISBN-13(EAN): 9781484258286 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intermedate-Advanced user level
Автор: Baesens Bart Название: Analytics in a big data world ISBN: 1118892704 ISBN-13(EAN): 9781118892701 Издательство: Wiley Рейтинг: Цена: 6178.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior.
Автор: Dey, Nilanjan Название: Big Data Analytics for Intelligent Healthcare Management ISBN: 012818146X ISBN-13(EAN): 9780128181461 Издательство: Elsevier Science Рейтинг: Цена: 19875.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data.
Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more
Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc.
Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more
Описание: Section 1: Mobile And Sensor Based Solutions.- Towards a Medical Tricorder - A 3D-Map to Categorize Diseases for Self-Care with Mobile Technology.- Piloting a Mobile Tele-Simulation Unit to Train Rural and Remote Emergency Health Care Providers.- Drone Delivery for Medical emergencies.- Converting Disability into Ability Using IT/IS And Smart Textiles.- A Mobile Nursing Solution.- SmartCoping: A Mobile Solution For Recognizing Stress And Coping With IT.- Changing Behaviour Of Kids With Obesity With Gamification Wearables.- Precision Wellness: An Optimization Model.- The Development Of A Wearable For An Automated Documentation And An Improved Staff Planning In Outpatient Care.- Toward A Better Life For Diabetic Patients - Developing And Integrating A Non-invasive Self-Management Support Tool Within A Smart Digital Companion.- Section 2: Opportunities To Incorporate Critical Aspects Of Analytics To Provide Superior Insights And Thus Support Better Decision Making.- Intelligent Risk Detection in Healthcare: Integrating Social and Technical Factors to Manage Health Outcomes.- A Literature Review on Predicting Unplanned Patient Readmissions.- Using KM To Develop Superior Online Health Decision Support Solutions: The Case of Allergy Care.- Opportunities For Using Blockchain Technology in Ehealth: E-prescribing In Germany.- Knowledge Acquisition Of Consumer Medication Adherence.- Addressing Data Accuracy And Information Integrity In Mhealth Solutions Using Machine Learning Algorithms.- Enabling Value-based Healthcare With Business Analytics And Intelligence.- Section 3: Critical Issues Around Aspects Of IoT In Healthcare Contexts.- A Review Of Mixed Reality In Healthcare.- Implementing Lean Principles In The Healthcare Industry: A Theoretical And Practical Perspective.- Data, Denial, Disparity: Is This A New Digital Divide.- The Enabling Role For Technology In The Support Of Care Coordination In Healthcare.- Managing The Risks Of Emerging IoT Devices.- Mosquitoes and Public Health: Improving Data Validation of Citizen Science Contributions Using Computer Vision.- Section 4: Applications Of Portals In Healthcare Contexts.- Using Responsive Web Design To Enhance The User Experience Of Chronic Disease Management Portals for Clinical Uses.- Older Adults Empowerment Through Training And Support And Its Implication On Proactive Self-Monitoring, Patient Engagement, And Connected Health.- An Evaluation Of A Point-of-Care System Implementation And Adoption In A Multi-Campus Private Hospital In Melbourne.- Leveraging The IOT To Enable The Guided Self-Determination Method.- Determining Key Elements in OIS To Improve The Patient Experience And Clinical Care.- Toward Actionable Knowledge: A Systematic Analysis Of Mobile Patient Portals.- A Lazy User Perspective To Patient Adoption And Use Of Personal Health Records.- The Australian PCEHR OR My Health Record - the Journey Around A Large Scale Nationwide Digital Health Solution.- Epilogue.
Автор: Stommel Manfred, Dontje Katherine J. Название: Statistics for Advanced Practice Nurses and Health Professionals ISBN: 0826198244 ISBN-13(EAN): 9780826198242 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14830.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive, graduate-level text for advanced practice nurses and other health care professionals provides state-of-the-art tools that facilitate the reading and interpretation of articles in clinical journals that use increasingly complex statistical techniques. It goes beyond the usual offerings of such texts to address clinically relevant topics in bio-statistics such as survival analysis and evaluation of screening tests. The text emphasizes the importance of understanding the underlying logic of statistical texts and models in order to correctly interpret them and effectively translate them into practice. It will also help readers to choose appropriate statistical methods for conducting their own translational research.With a focus on disseminating information in easily understandable language, the text addresses basic statistical reasoning and four different classes of statistical models. It provides refreshers on the algebraic underpinnings of statistics in the appendices and more complex algebraic derivations in highlighted boxes throughout the text. This includes how to manipulate the exponential expressions and logarithms necessary for logistic and hazard regression models. The book also features clear explanations of more sophisticated statistical models, inference, and analyses. Chapters present examples from current research and multiple exercises designed to reinforce learning. These include both hand calculations and data analysis using SPSS or STATA software. Additionally, data sets for practice are available from the Springer Publishing website with instructions for producing output shown in the text in SPSS, STATA, SAS, and Microsoft Excel formats. A chapter on data management practices and ethical issues of privacy maintenance is also included.Key Features:Covers bio-statistics especially relevant to nursing research such as survival analysis and evaluation of screening testsIncludes research examples from current literature in highlighted boxesPresents text boxes with algebraic derivations useful to interpreting statistical methodsProvides digital examples for SPSS and STATA with instructions on how to produce output included in textOffers end-of-chapter exercises involving hand calculations and data analysis using SPSS, STATA, and other software formats
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