Titlebook: Big Data, Big Challenges: A Healthcare Perspective; Background, Issues, Mowafa Househ,Andre W. Kushniruk,Elizabeth M. Bory Book 2019 Sprin

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Introduction: Analog Versus Digital,lth data, fitness data, genomic data and epidemiological data are being generated at an unprecedented rate and this trend will only continue. While advances are being made in the automated collection and analysis of such data, using machine learning, data mining and artificial intelligence technique

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Behavioral Modeling of Sequential Logic,al aspects of data-driven applications. We present examples of recently proposed lifestyle applications and highlight the ethical issues with such applications. We discuss challenges and opportunities in the process of transforming the raw data collected from wearables and mobile devices into insigh

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Big Data Challenges from a Public Health Informatics Perspectivening core functions and concepts; moves on to examples to illustrate potentials of success and failure; explains unresolved conceptual issues; and concludes with presentation of resources and cautions.

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Mowafa Househ,Andre W. Kushniruk,Elizabeth M. BoryPresents a multifaceted perspective on the use of Big Data in healthcare.Analyzes the challenges and impacts of mainstream big data approaches.Proposes alternative approaches and solutions

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Big Data, Big Challenges: A Healthcare Perspective978-3-030-06109-8Series ISSN 2195-271X Series E-ISSN 2195-2728

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https://doi.org/10.1007/978-3-030-12489-2 addressed. Both the availability of data sources to address questions of interest to nurses and reports of the application of data science methods by nurses are on the rise. Expanding the data science infrastructure available to nurses and improving the data science competencies of nurses in variou