Innovative data integration and conceptual space modeling for COVID, cancer, and cardiac care

"The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that...

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Bibliographic Details
Other Authors: Neustein, Amy, author (author), Christen, Nathaniel, author
Format: eBook
Language:Inglés
Published: London, England : Academic Press [2022]
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835415906719
Table of Contents:
  • 1. Introduction
  • Part I: Biomedical data formats and data integration
  • 2. Data structures associated with biomedical research
  • 3. Data mining and predictive analytics for cancer and COVID-19
  • 4. Modular design, image biomarkers, and radiomics
  • Part II: Type theory, graphs, and conceptual spaces
  • 5. Types' internal structure and "non-constructive ("NC4#x94;) type theory
  • 6. Using code models to instantiate data models
  • Part III: Conceptual spaces and graph-oriented data-modeling paradigms
  • 7. Multi-aspect modules and image annotation
  • 8. Image annotation as a multi-aspect case study
  • 9. Conceptual spaces and scientific data models.