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...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
London, England :
Academic Press
[2022]
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| Materias: | |
| 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.
