Description

Book Synopsis


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”) 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

Innovative Data Integration and Conceptual Space

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    A Paperback / softback by Amy Neustein, Nathaniel Christen

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      Publisher: Elsevier Science & Technology
      Publication Date: Publication Date: 24/01/2022
      ISBN13: 9780323851978, 978-0323851978
      ISBN10: 0323851975

      Description

      Book Synopsis


      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”) 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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