Titlebook: Big Data-Enabled Nursing; Education, Research Connie W. Delaney,Charlotte A. Weaver,Roy L. Simps Book 2017 Springer International Publishi

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Medical Issues in Italian Frescoes,e used for secondary research purposes. Many research collaboratives develop by building on past associations with one or two constituencies—typically academic institutions and integrated healthcare delivery systems. An emerging model is the academic/corporate model whose research partners include l

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Introduction to Medical Image Analysistential to affect the health of individual lives. The use of existing data provides fertile ground for healthcare professionals to conduct research that will maximize quality outcomes, develop algorithms of care to increase efficiency and safety, and create predictive models that have the ability to

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Introduction to Medio-Translatologyeed of improvement. Research—especially large clinical trials—is currently not only expensive, but also slow in both the setup and conduct of a study. Expanding the nation’s capacity to conduct clinical studies quickly and economically requires new infrastructure that takes advantage of data gathere

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Introduction to Medio-Translatologyrking capabilities, as well as the rise in wearable devices and consumer health care applications, have led to a considerable increase in the volume and variety of these data. While very large databases are being combined within electronic health records systems (EHRs), information reflecting nursin

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https://doi.org/10.1007/978-1-4613-3135-3ods and technologies. This chapter describes key methods that allow tackling hard discovery (analysis and modeling) questions with large datasets. Particular emphasis is placed on answering predictive and causal questions, coping with very large dimensionalities, and producing models that generalize

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Introduction to Metal Matrix Compositesr shift attention and is associated with poor patient outcomes. Managing these patients is a central nursing concern because patients with AMSC involve significant nursing resources and increased monitoring. Big Data can be used to develop cognitive support interventions at all levels, ranging from

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Big Data-Enabled Nursing978-3-319-53300-1Series ISSN 1431-1917 Series E-ISSN 2197-3741

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Connie W. Delaney,Charlotte A. Weaver,Roy L. SimpsDedicated to teaching the application of big data within nursing.Makes extensive use of illustrations to expand on key thematic points.Contextualizes strategies for effective modern nursing practice.P