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...
Other Authors: | , |
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Format: | eBook |
Language: | Inglés |
Published: |
London, England :
Academic Press
[2022]
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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.