Big Data, Big Challenges: A Healthcare Perspective, Househ
Автор: Dey, Nilanjan Название: Big Data Analytics for Intelligent Healthcare Management ISBN: 012818146X ISBN-13(EAN): 9780128181461 Издательство: Elsevier Science Рейтинг: Цена: 132500.00 T 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
This book describes how the creation of new digital services--through vertical and horizontal integration of data coming from sensors on top of existing legacy systems--that has already had a major impact on industry is now extending to healthcare. The book describes the fourth industrial revolution (i.e. Health 4.0), which is based on virtualization and service aggregation. It shows how sensors, embedded systems, and cyber-physical systems are fundamentally changing the way industrial processes work, their business models, and how we consume, while also affecting the health and care domains. Chapters describe the technology behind the shift of point of care to point of need and away from hospitals and institutions; how care will be delivered virtually outside hospitals; that services will be tailored to individuals rather than being designed as statistical averages; that data analytics will be used to help patients to manage their chronic conditions with help of smart devices; and that pharmaceuticals will be interactive to help prevent adverse reactions. The topics presented will have an impact on a variety of healthcare stakeholders in a continuously global and hyper-connected world.
- Presents explanations of emerging topics as they relate to e-health, such as Industry 4.0, Precision Medicine, Mobile Health, 5G, Big Data, and Cyber-physical systems;
- Provides overviews of technologies in addition to possible application scenarios and market conditions;
- Features comprehensive demographic and statistic coverage of Health 4.0 presented in a graphical manner.
Автор: Edited By I. Glenn C Название: Big data, health law, and bioethics ISBN: 1107193656 ISBN-13(EAN): 9781107193659 Издательство: Cambridge Academ Рейтинг: Цена: 160510.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores the legal and ethical implications - both challenges and opportunities - of using big data in health care and research.
Автор: Alemi Farrokh Название: Big Data in Healthcare: Statistical Analysis of the Electronic Health Record ISBN: 1640550631 ISBN-13(EAN): 9781640550636 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 85010.00 T Наличие на складе: Невозможна поставка. Описание: Big Data in Healthcare: Statistical Analysis of the Electronic Health Record provides the statistical tools that healthcare leaders need to organize and interpret their data. Designed for accessibility to those with a limited mathematics background, the book demonstrates how to leverage EHR data for applications as diverse as healthcare marketing, pay for performance, cost accounting, and strategic management. Topics include:
Using real-world data to compare hospitals' performance.
Measuring the prognosis of patients through massive data
Distinguishing between fake claims and true improvements
Comparing the effectiveness of different interventions using causal analysis
Benchmarking different clinicians on the same set of patients
Remove confounding in observational data
This book can be used in introductory courses on hypothesis testing, intermediate courses on regression, and advanced courses on causal analysis. It can also be used to learn SQL language. Its extensive online instructor resources include course syllabi, PowerPoint and video lectures, Excel exercises, individual and team assignments, answers to assignments, and student-organized tutorials. Big Data in Healthcare applies the building blocks of statistical thinking to the basic challenges that healthcare leaders face every day. Prepare for those challenges with the clear understanding of your data that statistical analysis can bring - and make the best possible decisions for maximum performance in the competitive field of healthcare.
Автор: Fusheng Wang; Lixia Yao; Gang Luo Название: Data Management and Analytics for Medicine and Healthcare ISBN: 3319577409 ISBN-13(EAN): 9783319577401 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2016, in New Delhi, India, in September 2016, held in conjunction with the 42nd International Conference on Very Large Data Bases, VLDB 2016.
Автор: Corea Название: Big Data Analytics: A Management Perspective ISBN: 3319389912 ISBN-13(EAN): 9783319389912 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better the phenomenon, starting from a clear stated definition. This book aims to be a starting reading for executives who want (and need) to keep the pace with the technological breakthrough introduced by new analytical techniques and piles of data. Common myths about big data will be explained, and a series of different strategic approaches will be provided. By browsing the book, it will be possible to learn how to implement a big data strategy and how to use a maturity framework to monitor the progress of the data science team, as well as how to move forward from one stage to the next. Crucial challenges related to big data will be discussed, where some of them are more general - such as ethics, privacy, and ownership – while others concern more specific business situations (e.g., initial public offering, growth strategies, etc.). The important matter of selecting the right skills and people for an effective team will be extensively explained, and practical ways to recognize them and understanding their personalities will be provided. Finally, few relevant technological future trends will be acknowledged (i.e., IoT, Artificial intelligence, blockchain, etc.), especially for their close relation with the increasing amount of data and our ability to analyse them faster and more effectively.
Автор: Brauch Название: Addressing Global Environmental Challenges from a Peace Ecology Perspective ISBN: 3319309897 ISBN-13(EAN): 9783319309897 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Addressing global environmental challenges from a peace ecology perspective, the present book offers peer-reviewed texts that build on the expanding field of peace ecology and applies this concept to global environmental challenges in the Anthropocene. Hans G?nter Brauch (Germany) offers a typology of time and turning points in the 20th century; Juliet Bennett (Australia) discusses the global ecological crisis resulting from a “tyranny of small decisions”; Katharina Bitzker (Canada) debates “the emotional dimensions of ecological peacebuilding” through love of nature; Henri Myrttinen (UK) analyses “preliminary findings on gender, peacebuilding and climate change in Honduras” while ?rsula Oswald Spring (Mex?co) offers a critical review of the policy and scientific nexus debate on “the water, energy, food and biodiversity nexus”, reflecting on security in Mexico. In closing, Brauch discusses whether strategies of sustainability transition may enhance the prospects for achieving sustainable peace in the Anthropocene.
Автор: Chintan Bhatt; Nilanjan Dey; Amira S. Ashour Название: Internet of Things and Big Data Technologies for Next Generation Healthcare ISBN: 3319497359 ISBN-13(EAN): 9783319497358 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Internet of Things Driven Connected Healthcare.-Internet of Things in HealthcareEnergy Efficient Network Design for IoT Healthcare Applications.-Exploring Formal Strategy Framework for the Security in IoT in e-health using Computational Intelligence.-Vitality of Robotics in Healthcare Industry: An Internet of Things (IoT) Perspective.-Internet of Things Meets Mobile Health Systems in Smart Spaces: An Overview.-Information and Communication Emerging Technology: Making Sense of Healthcare Innovation.-Health Informatics as a Service (HIaaS) for Developing Countries.- Analysis of Power Aware Protocols and Standards for Critical E-Health Applications.-Social Networking and Analytics.-A decision support system in brain tumor detection and localization in nominated areas in MR images.-Detecting Unusual Human Activities Using GPU-enabled Neural Network and Kinect Sensors.
Автор: Bairong Shen Название: Healthcare and Big Data Management ISBN: 9811060401 ISBN-13(EAN): 9789811060403 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both scientific research and economic development. This volume covers a range of aspects, including: big data management for healthcare;
Автор: Mary F.E. Ebeling Название: Healthcare and Big Data ISBN: 1137502207 ISBN-13(EAN): 9781137502209 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This highly original book is an ethnographic noir of how Big Data profits from patient private health information. Primarily told through a first-person noir narrative, Ebeling as a sociologist-hard-boiled-detective, investigates Big Data and the trade in private health information by examining the information networks that patient data traverses.
Автор: Edited By I. Glenn C Название: Big data, health law, and bioethics ISBN: 1108449670 ISBN-13(EAN): 9781108449670 Издательство: Cambridge Academ Рейтинг: Цена: 77090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book explores the legal and ethical implications - both challenges and opportunities - of using big data in health care and research.
Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges.You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things.
What You'll Learn
Gain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AISelect learning methods/algorithms and tuning for use in healthcareRecognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agents
Who This Book Is For
Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.
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