Materias dentro de su búsqueda.
Mostrando 1,961 - 1,980 Resultados de 2,335 Para Buscar '"data science"', tiempo de consulta: 0.48s Limitar resultados
  1. 1961
    por Yu, Chaoran, Helwig, Ernest Johann
    Publicado 2021
    “…It arises at the intersection of data science and computer science and aims at the efficiency of computing algorithms. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Artificial intelligence in gastric cancer: a translational narrative review
  2. 1962
    “…The generation of output metrics from input parameters lends itself to the use of data science and machine learning approaches in order to steer the design. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The Paramak: automated parametric geometry construction for fusion reactor designs.
  3. 1963
    “…To solve key biomedical problems, experimentalists now routinely measure millions or billions of features (dimensions) per sample, with the hope that data science techniques will be able to build accurate data-driven inferences. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Supervised dimensionality reduction for big data
  4. 1964
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    uTakeCare: unlock full decentralization of personal data for a respectful decontainment in the context of COVID-19: toward a digitally empowered anonymous citizenship
  5. 1965
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Internet of Medical Things (IoMT) with machine learning–based COVID-19 diagnosis model using chest X-ray images
  6. 1966
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Deep convolutional neural network–based image classification for COVID-19 diagnosis
  7. 1967
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Limitations and challenges on the diagnosis of COVID-19 using radiology images and deep learning
  8. 1968
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Application of machine learning for the diagnosis of COVID-19
  9. 1969
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Predictive models to the COVID-19
  10. 1970
    por Karaarslan, Enis, Aydın, Doğan
    Publicado 2021
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    An artificial intelligence–based decision support and resource management system for COVID-19 pandemic
  11. 1971
    “…Recent advances in high-throughput sequencing technologies and data science have facilitated the development of precision medicine to treat cancer patients. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Aurora kinase A, a synthetic lethal target for precision cancer medicine
  12. 1972
    por Kolyshkina, Inna, Simoff, Simeon
    Publicado 2021
    “…This limits the practicality of using ML in the health domain: the issues with explaining the outcomes of ML algorithms to medical practitioners and policy makers in public health has been a recognized obstacle to the broader adoption of data science approaches in this domain. This study builds on the earlier work which introduced CRISP-ML, a methodology that determines the interpretability level required by stakeholders for a successful real-world solution and then helps in achieving it. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Interpretability of Machine Learning Solutions in Public Healthcare: The CRISP-ML Approach
  13. 1973
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Improving Google Flu Trends for COVID-19 estimates using Weibo posts
  14. 1974
    “…The workshop involved participants from various disciplines with expertise in lung infection, pneumonia, sepsis, immunocompromised patients, translational biology, data science, genomics, systems biology, and clinical trials. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Understanding the Host in the Management of Pneumonia. An Official American Thoracic Society Workshop Report
  15. 1975
    “…In machine learning and data science, feature selection is considered as a crucial step of data preprocessing. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A Tri-Stage Wrapper-Filter Feature Selection Framework for Disease Classification
  16. 1976
    “…The results show that our method is a promising approach to the epidemic analysis from a data science viewpoint.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Change sign detection with differential MDL change statistics and its applications to COVID-19 pandemic analysis
  17. 1977
    “…The capabilities of natural language processing (NLP) methods have expanded significantly in recent years, and progress has been particularly driven by advances in data science and machine learning. However, NLP is still largely underused in patient-oriented clinical research and care (POCRC). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Defining Patient-Oriented Natural Language Processing: A New Paradigm for Research and Development to Facilitate Adoption and Use by Medical Experts
  18. 1978
    “…Results: The following six priority recommendations were developed by the working group: 1) the creation of large richly phenotyped and harmonized knowledge networks of clinical, imaging, and multianalyte molecular data for sepsis and ARDS; 2) the implementation of novel trial designs, including adaptive designs, and embedding trial procedures in the electronic health record; 3) continued innovation in the data science and engineering methods required to identify heterogeneity of treatment effect; 4) further development of the tools necessary for the real-time application of precision medicine approaches; 5) work to ensure that precision medicine strategies are applicable and available to a broad range of patients varying across differing racial, ethnic, socioeconomic, and demographic groups; and 6) the securement and maintenance of adequate and sustainable funding for precision medicine efforts. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A Research Agenda for Precision Medicine in Sepsis and Acute Respiratory Distress Syndrome: An Official American Thoracic Society Research Statement
  19. 1979
    por Gao, Jing, Pesaresi, Martino
    Publicado 2021
    “…Recently a set of such projections was produced using data-science-based simulations and the Shared Socioeconomic Pathways (SSPs). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Downscaling SSP-consistent global spatial urban land projections from 1/8-degree to 1-km resolution 2000–2100
  20. 1980
    “…As an R‐based package, it also allows direct integration into this data science environment without requiring any programming knowledge. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Visually guided preprocessing of bioanalytical laboratory data using an interactive R notebook (pguIMP)
Herramientas de búsqueda: RSS