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  1. 2081
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    Toward analyzing the impact of healthcare treatments in industry 4.0 environment—a self-care case study during COVID-19 outbreak
  2. 2082
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    Control of antibiotic resistance and superinfections as a strategy to manage COVID-19 deaths
  3. 2083
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    Identification of lead inhibitors of TMPRSS2 isoform 1 of SARS-CoV-2 target using neural network, random forest, and molecular docking
  4. 2084
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    Impact of COVID-19 and lockdown policies on farming, food security, and agribusiness in West Africa
  5. 2085
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    Essentials of the COVID-19 coronavirus
  6. 2086
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    “Quarantined within a quarantine”: COVID-19 and GIS Dynamic Scenario Modeling in Tasmania, Australia
  7. 2087
    “…Widely used, validated standards and best practices are key to addressing the challenges in both big and small data science, as they are essential for integrating diverse data and for developing a robust, effective, and sustainable infrastructure to support open and reproducible neuroscience. …”
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    A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility
  8. 2088
    “…BACKGROUND: Biomedical research requires health care institutions to provide sensitive clinical data to leverage data science and artificial intelligence technologies. …”
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    Medical-Blocks―A Platform for Exploration, Management, Analysis, and Sharing of Data in Biomedical Research: System Development and Integration Results
  9. 2089
    “…PARTICIPANTS: 26 participants were recruited to the study, of whom 50% were clinicians, 26.9% in management and 19.2% in data science. All had completed the 2-year NHSDA programme in Digital Health Leadership more than 6 months prior. …”
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    Evaluating the impact of a digital leadership programme on national digital priorities: a mixed methods study
  10. 2090
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    Deep learning-based hybrid models for prediction of COVID-19 using chest X-ray
  11. 2091
    por Chute, Christopher G., Çelik, Can
    Publicado 2022
    “…The new artifact can enable modern data science and analyses with content encoded with ICD11.…”
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    Overview of ICD-11 architecture and structure
  12. 2092
    “…With massive and spatially distributed observational data sets of land surface properties and environmental conditions being collected from the ground, airborne or space-borne platforms daily over the past few decades, many research teams have started to use big data science to advance the ET estimation methods. The Geostationary satellite Evapotranspiration and Drought (GET-D) product system was developed at the National Oceanic and Atmospheric Administration (NOAA) in 2016 to generate daily ET and drought maps operationally. …”
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    Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations
  13. 2093
    “…In last decade, the technique of deep learning has become a dominant tool in data science, such that one may train a diagnosis network from a known batch and then generalize it to a new batch. …”
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    Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomics
  14. 2094
    “…By integrating methods from various disciplines, including economics, data science, nutrition, and public health and by considering factors at various levels (home, school, and neighborhood), the study will identify levers for intervention with the potential to improve children’s dietary behaviors. …”
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    School and community drivers of child diets in two Arab cities: The SCALE protocol and innovative tools to assess children’s food environments
  15. 2095
    “…The Delphi panel accorporated experts from different backgrounds; (i) healthcare professionals/ academicians; (ii) computer and data science professionals/ academics; (iii) law and ethics professionals/ academics; and (iv) medical students. …”
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    Artificial intelligence in medical education curriculum: An e-Delphi study for competencies
  16. 2096
    “…Modern advancements in artificial intelligence, data science, sensors, and computing technologies allow facial features to be accurately digitized, which could potentially allow these previously intuitive assessments to be quantified. …”
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    Use of Facial Morphology to Determine Nutritional Status in Older Adults: Opportunities and Challenges
  17. 2097
    “…Themes at the health system worker level were skills in evidence-based practice, leadership and teamwork skills, analytical and technological skills required to use a ‘digital ecosystem’, data-science knowledge and skill and self-reflective capacity. …”
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    Identifying requisite learning health system competencies: a scoping review
  18. 2098
    “…Secondly, junior researchers at the start of their career in Surgical Data Science and thirdly experts working in the regulatory sections of companies involved in the AI Business Software as a Medical Device (SaMD) preparing documents for submission to the Food and Drug Administration (FDA) or other agencies for approval. …”
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    Breaking down the silos of artificial intelligence in surgery: glossary of terms
  19. 2099
    “…The authors recommend further integration of sensor data and simulations with modern data science techniques to generate large datasets of exposures and predicted brain responses along with associated clinical findings. …”
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    Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports
  20. 2100
    por Sarkar, Indra Neil
    Publicado 2022
    “…The maturity of HIE reflects the maturity of the biomedical informatics and health data science fields.…”
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    Transforming Health Data to Actionable Information: Recent Progress and Future Opportunities in Health Information Exchange
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