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

"In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Neustein, Amy (Autor), Christen, Nathaniel (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, an imprint of Elsevier, [2022]
Temas:
Medical care > Data processing.
Data integration (Computer science)
COVID-19 (Disease) > Treatment.
Cancer > Treatment.
Cardiovascular system > Diseases > Treatment.
Medical Informatics
COVID-19 > therapy
Neoplasms > therapy
Cardiovascular Diseases > therapy
Int�egration de donn�ees (Informatique)
COVID-19 > Traitement.
Cancer > Traitement.
Appareil cardiovasculaire > Maladies > Traitement.
Soins m�edicaux > Informatique.
M�edecine > Informatique.
Cancer > Treatment
Cardiovascular system > Diseases > Treatment
COVID-19 (Disease) > Treatment
Medical care > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Introduction
  • 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
  • 5. Types' internal structure and "non-constructive" ("NC4") type theory
  • 6. Using code models to instantiate data models
  • 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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