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  1. 2061
    “…The COVID-19 Evidence Accelerator convened by the Reagan-Udall Foundation for the FDA, in collaboration with Friends of Cancer Research, assembled experts from the health systems research, regulatory science, data science, and epidemiology to participate in a large parallel analysis of different data sets to further explore the effectiveness of these treatments. …”
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    COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients
  2. 2062
    “…It is also increasingly important for undergraduate programs in ecology and related disciplines to provide students with experiences working with large ecological datasets to develop students’ data science skills and their ability to consider how ecological processes that operate at broader spatial scales (macroscale) affect local ecosystems. …”
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    Developing a flexible learning activity on biodiversity and spatial scale concepts using open‐access vegetation datasets from the National Ecological Observatory Network
  3. 2063
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    An ensemble predictive analytics of COVID-19 infodemic tweets using bag of words
  4. 2064
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    A demystifying convolutional neural networks using Grad-CAM for prediction of coronavirus disease (COVID-19) on X-ray images
  5. 2065
    por Hota, H.S., Handa, Richa, Shrivas, A.K.
    Publicado 2021
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    COVID-19 pandemic in India: Forecasting using machine learning techniques
  6. 2066
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    Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images
  7. 2067
    “…To investigate the magnitude of the possible association between levothyroxine use and cancer risk, this retrospective case‐control study was conducted using Taiwan’s Health and Welfare Data Science Center database. Cases were defined as all patients who were aged ≥20 years and had a first‐time diagnosis for cancer at any site for the period between 2001 and 2011. …”
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    Risk of cancer in long‐term levothyroxine users: Retrospective population‐based study
  8. 2068
    “…METHODS: The process of building the UPHO involves collecting and integrating data from several sources, classifying the collected data into drivers and outcomes, incorporating data science techniques for calculating measurable indicators from the raw variables, and studying the extent to which interventions are identified or developed to mitigate drivers that lead to the undesired outcomes. …”
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    An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study
  9. 2069
    “…Airborne remote sensing offers unprecedented opportunities to efficiently monitor vegetation, but methods to delineate and classify individual plant species using the collected data are still actively being developed and improved. The Integrating Data science with Trees and Remote Sensing (IDTReeS) plant identification competition openly invited scientists to create and compare individual tree mapping methods. …”
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    Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data
  10. 2070
    “…Conclusions: The most significant research efforts in the CRI field are currently focusing on data science with active research in the development and evaluation of Artificial Intelligence/Machine Learning (AI/ML) algorithms based on ever more intensive use of real-world data and especially EHR real or synthetic data. …”
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    Key Contributions in Clinical Research Informatics
  11. 2071
    “…To show this, it discusses ideas on higher education development in general as well as fitted to specific courses in the fields of database systems and data science. It describes which properties a technical platform must provide if it should be used as an operational basis. …”
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    Bringing it all together – Gemeinschaftlich aktiv lernen am virtuell geteilten Bildschirm in der Hochschule und digital
  12. 2072
    “…We argue that the process of adding value should adhere to the principles of open (geographic) data science, ensuring openness, transparency and reproducibility. …”
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    Open data products-A framework for creating valuable analysis ready data
  13. 2073
    “…Due to the continuous and growing spread of the novel corona virus (COVID-19) worldwide, it is urgent, especially in the data science era, to develop accurate data driven decision-aided methods to predict and early detect the outbreak of this epidemic disease and then to support healthcare decision makers. …”
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    Integrating Models and Fusing Data in a Deep Ensemble Learning Method for Predicting Epidemic Diseases Outbreak()
  14. 2074
    “…Python is a programming language extensively used in bioinformatics and data science, which is particularly suitable for beginners. …”
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    The experience of teaching introductory programming skills to bioscientists in Brazil
  15. 2075
    “…Methods: From 2000 to 2017, participants under 18 years of age who underwent NM scanning were identified using the Health and Welfare Data Science Center (HWDC) dataset, which was extracted from the Taiwan National Health Insurance Research Database (NHIRD). …”
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    Pediatric Nuclear Medicine Examinations and Subsequent Risk of Neoplasm: A Nationwide Population-Based Cohort Study
  16. 2076
    “…Our approach draws on migration theory and modelling, international protection, and data science to deliver what is, to our knowledge, the first comprehensive system for forecasting asylum applications based on adaptive models and data at scale. …”
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    Forecasting asylum-related migration flows with machine learning and data at scale
  17. 2077
    “…Driven by the big data science, material informatics has attracted enormous research interests recently along with many recognized achievements. …”
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    Large scale dataset of real space electronic charge density of cubic inorganic materials from density functional theory (DFT) calculations
  18. 2078
    “…When examined from a data science perspective, many of these apparent differences can be parsed into the same or similar endpoints whose measurements differ only in time, methodology, or nomenclature. …”
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    Implementation of Zebrafish Ontologies for Toxicology Screening
  19. 2079
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    Artificial intelligence and COVID-19: fighting pandemics
  20. 2080
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    Telemedicine applications for pandemic diseases, with a focus on COVID-19
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