Results 51 to 60 of about 518,037 (342)
Annals of GIS, 2022 With the emergence of new forms of geospatial/urban big data and advanced spatial analytics and machine learning methods, new patterns and phenomena can be explored and discovered in our cities and societies.
Yijing Li, Qunshan Zhao, Chen Zhong
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Mapping and Taking Stock of the Personal Informatics Literature
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2020 The research community on the study and design of systems for personal informatics has grown over the past decade. To take stock of what the topics the field has studied and methods the field has used, we map and label 523 publications from ACM's library,
Daniel A. Epstein +14 more
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Rencontres, en présence et à distance, avec Jacques Perriault
Distances et Médiations des Savoirs, 2022 During the course of a professional career, we meet dozens of people whose ideas have made us think and progress, either immediately or afterwards because ideas take time to mature. For me, Jacques Perriault is undoubtedly one of them.
Georges-Louis Baron
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A peek into the future of radiology using big data applications
Indian Journal of Radiology and Imaging, 2017 Big data is extremely large amount of data which is available in the radiology department. Big data is identified by four Vs – Volume, Velocity, Variety, and Veracity. By applying different algorithmic tools and converting raw data to transformed data in
Amit T Kharat, Shubham Singhal
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, 2016 Our ability to collect “big data” has greatly surpassed our capability to analyze it, underscoring the emergence of the fourth paradigm of science, which is data-driven discovery.
Ankit Agrawal, A. Choudhary
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Nursing Informatics: Decades of Contribution to Health Informatics [PDF]
Healthcare Informatics Research, 2013 In this paper we present a contemporary understanding of "nursing informatics" and relate it to applications in three specific contexts, hospitals, community health, and home dwelling, to illustrate achievements that contribute to the overall schema of health informatics.We identified literature through database searches in MEDLINE, EMBASE, CINAHL, and
Anne Moen, Lina Merete Mæland Knudsen
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Informatic Labor in the Age of Computational Capital
Lateral, 2016 Jonathan Beller expands conversations about the role of the digital and the digital humanities through attention to the mechanisms by which the digital image is instrumental in neoliberal capitalist accumulation and colonialism.
Jonathan Beller
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A Schema for Digitized Surface Swab Site Metadata in Open-Source DNA Sequence Databases
mSystems, 2023 Large, open-source DNA sequence databases have been generated, in part, through the collection of microbial pathogens by swabbing surfaces in built environments.
Jingzhang Feng +7 more
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Interactive machine learning for health informatics: when do we need the human-in-the-loop?
Brain Informatics, 2016 Machine learning (ML) is the fastest growing field in computer science, and health informatics is among the greatest challenges. The goal of ML is to develop algorithms which can learn and improve over time and can be used for predictions.
Andreas Holzinger
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Intensive Care Medicine, 2020 Health informatics is the development and assessment of methods and systems for the acquisition, processing and interpretation of patient data with the help of knowledge from scientific research.
Michael Imhoff +2 more
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