RESUMEN
Sharing scientific data containing complex information requires new concepts and new technology. NEUROGENERATOR is a database generator for the neuroimaging community. A database generator is a database that generates new databases. The scientists submit raw PET and fMRI data to NEUROGENERATOR, which then processes the data in a uniform way to create databases of homogeneous data suitable for data sharing, met-analysis and modelling the human brain at the systems level. These databases are then distributed to the scientists.
Asunto(s)
Encéfalo/anatomía & histología , Encéfalo/fisiología , Bases de Datos Factuales , Humanos , Imagen por Resonancia Magnética , Tomografía Computarizada de EmisiónRESUMEN
Domain specific knowledge is often not static but continuously evolving. This is especially true for the medical domain. Furthermore, the lack of standardized structures for presenting knowledge makes it difficult or often impossible to assess new knowledge in the context of existing knowledge. Possibilities to compare knowledge easily and directly are often not given. It is therefore of utmost importance to create a model that allows for comparability, consistency and quality assurance of medical knowledge in specific work situations. For this purpose, we have designed on object-relational model based on structured knowledge elements that are dynamically reusable by different multi-media-based tools for case-based documentation, disease course simulation, and decision support. With this model, high-level components, such as patient case reports or simulations of the course of a disease, and low-level components (e.g., diagnoses, symptoms or treatments) as well as the relationships between these components are modeled. The resulting schema has been implemented in AMOS II, on object-relational multi-database system supporting different views with regard to search and analysis depending on different work situations.
Asunto(s)
Bases de Datos como Asunto , Documentación , Informática Médica , Enfermedad , Humanos , Difusión de la Información , Almacenamiento y Recuperación de la Información , Bases del Conocimiento , Registros Médicos , Probabilidad , Garantía de la Calidad de Atención de Salud , Factores de TiempoAsunto(s)
Perros , Vínculo Humano-Animal , Animales , Animales Domésticos , Animales Salvajes , Conducta Animal , Cruzamiento , Perros/genética , Perros/fisiología , Perros/psicología , Humanos , Conducta SocialRESUMEN
The needs for permanently changing the logical and physical structure of a medical datebase during the development of a health information system have initiated the project of implementing a DATA MANAGER. The concept of the DATA MANAGER covers facilities for the development of the logical data structure model including documentation of the model and programming support for application programs accessing the health information system (HIS) database. The outstanding facilities of the INTERLISP system have been found to be appropriate for writing the DATA MANAGER. A first data structure model, on which the DATA MANAGER will operate, is roughly outlined.