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

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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Detalles Bibliográficos
Otros Autores: Neustein, Amy, author (author), Christen, Nathaniel, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: London, England : Academic Press [2022]
Materias:
Medical care > Data processing.
Data integration (Computer science)
COVID-19 (Disease) > Treatment.
Cancer > Treatment.
Cardiovascular system > Diseases > Treatment.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835415906719
Tabla de Contenidos:
  • 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.

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