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Mostrando 441 - 460 Resultados de 2,335 Para Buscar '"data science"', tiempo de consulta: 0.60s Limitar resultados
  1. 441
    por Leonelli, Sabina
    Publicado 2016
    “…The distributed and global nature of data science creates challenges for evaluating the quality, import and potential impact of the data and knowledge claims being produced. …”
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    Locating ethics in data science: responsibility and accountability in global and distributed knowledge production systems
  2. 442
    “…In order to address this gap, the integrative field of molecular pathology and population data science (i.e., molecular pathological epidemiology) has been developed to enable such multi-level analyses, especially in gastrointestinal cancer research. …”
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    Integration of pharmacology, molecular pathology, and population data science to support precision gastrointestinal oncology
  3. 443
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    Introduction of a web portal for an Individual Health Management and observational health data sciences
  4. 444
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    Innovation at the Intersection of Clinical Trials and Real‐World Data Science to Advance Patient Care
  5. 445
    por Evans, Barbara J, Krumholz, Harlan M
    Publicado 2018
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    People-powered data collaboratives: fueling data science with the health-related experiences of individuals
  6. 446
    “…Ecology has reached the point where data science competitions, in which multiple groups solve the same problem using the same data by different methods, will be productive for advancing quantitative methods for tasks such as species identification from remote sensing images. …”
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    A data science challenge for converting airborne remote sensing data into ecological information
  7. 447
    “…METHODS: We deployed a data science platform based on several open source technologies to support real-time, big data workloads. …”
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    Health Care and Precision Medicine Research: Analysis of a Scalable Data Science Platform
  8. 448
    “…Appropriate quantitative measures of preterm EEG must be calculated and care needs to be taken when applying the many techniques available for this task in the era of modern data science. This review provides valuable information about the factors that influence quantitative EEG analysis and describes the common pitfalls. …”
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    Quantitative Preterm EEG Analysis: The Need for Caution in Using Modern Data Science Techniques
  9. 449
    “…As an omics science, which generates vast amounts of data and relies heavily on data science for deriving biological meaning, metabolomics is highly vulnerable to irreproducibility. …”
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    Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing
  10. 450
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    A comprehensive survey of error measures for evaluating binary decision making in data science
  11. 451
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    Successful Integration of Data Science in Undergraduate Biostatistics Courses Using Cognitive Load Theory
  12. 452
    “…The application of data science methods (i.e., machine learning and text-mining) and findings from this research will be used to develop text-mining pipelines to support sustained data-driven interdisciplinary aging studies to reduce ICs.…”
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    ADVANCING AN INTERDISCIPLINARY SCIENCE OF AGING THROUGH A PRACTICE-BASED DATA SCIENCE APPROACH
  13. 453
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    Publisher Correction: Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl
  14. 454
    “…Sandro Galea and co-authors discuss a forthcoming Collection on data science and social determinants of health.…”
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    Social determinants of health, data science, and decision-making: Forging a transdisciplinary synthesis
  15. 455
    por Brackbill, Devon, Centola, Damon
    Publicado 2020
    “…We conducted a series of experimentally designed Data Science Competitions, in which we manipulated the efficiency of the communication networks among distributed groups of data scientists attempting to find better solutions for complex statistical modeling problems. …”
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    Impact of network structure on collective learning: An experimental study in a data science competition
  16. 456
    “…In this paper, we present a comprehensive view on “mobile data science and intelligent apps” in terms of concepts and AI-based modeling that can be used to design and develop intelligent mobile applications for the betterment of human life in their diverse day-to-day situation. …”
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    Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions
  17. 457
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    Identifying temporal molecular signatures underlying cardiovascular diseases: A data science platform
  18. 458
    “…The human white matter study field will advance faster if the tract summaries are available in plain data-science-ready format for non-diffusion MRI experts, such as statisticians, computer graphic researchers or data scientists in general. …”
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    Data-science ready, multisite, human diffusion MRI white-matter-tract statistics
  19. 459
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    Assessing the educational performance of different Brazilian school cycles using data science methods
  20. 460
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    Ten important roles for academic leaders to promote equity, diversity, and inclusion in data science
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