Innovative data integration and conceptual space modeling for COVID, cancer, and cardiac care. (2022)

• Record Type: Book
• Further Information: Note: Amy Neustein, Nathaniel Christen.
• Authors: Neustein, Amy; Christen, Nathaniel
• 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
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 610.285; Medical care -- Data processing; Data integration (Computer science); COVID-19 (Disease) -- Treatment; Cancer -- Treatment; Cardiovascular system -- Diseases -- Treatment
• Languages: English
• ISBNs: 9780323853569
• Related ISBNs: 9780323851978
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.