Information Warehouse for Medical Research
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Fuzzy Rule-Based Framework for Medical Record Validation
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Multimedia data warehouses: a multiversion model and a medical application
Multimedia Tools and Applications
A health-care data model based on the HL7 reference information model
IBM Systems Journal
MedTAKMI-CDI: interactive knowledge discovery for clinical decision intelligence
IBM Systems Journal
Development of a data warehouse for Lymphoma cancer diagnosis and treatment decision support
WSEAS Transactions on Information Science and Applications
Interactive survival analysis with the OCDM system: From development to application
Information Systems Frontiers
Analyses of multi-level and multi-component compressed bitmap indexes
ACM Transactions on Database Systems (TODS)
Artificial Intelligence in Medicine
Optimized column-oriented model: a storage and search efficient representation of medical data
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
What time is it in the data warehouse?
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Integrating different grain levels in a medical data warehouse federation
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Modeling data warehouse schema evolution over extended hierarchy semantics
Journal on Data Semantics XIII
Using domain ontologies as semantic dimensions in data warehouses
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
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Medical informatics has been an important area for the application of computing and database technology for at least four decades. This area may benefit from the functionality offered by data warehousing. However, the special nature of clinical applications poses different and new requirements to data warehousing technologies, over those posed by conventional data warehouse applications.This article presents a number of exciting new research challenges posed by clinical applications, to be met by the database research community. These include the need for complex-data modeling features, advanced temporal support, advanced classification structures, continuously valued data, dimensionally reduced data, and the integration of very complex data. In addition, the support for clinical treatment protocols and medical research are interesting areas for research.