Information Warehouse for Medical Research
Data warehousing imposes itself as an attractive solution for centralizing and analyzing high quality data. In the medical research field, this technology can be used to validate assumptions and to discover trends on large amount of patient data. However, like other scientific complex data, medical data and especially raw sensor data need to be processed before becoming interpretable. The selection of the process mode is a key issue in the physician’s reasoning. In our study, we propose a solution to gather data and processes into a single information warehouse. Our solution provides features for loading, modeling and querying the information warehouse. Stored data are multidimensional data (patient identity, therapeutic data...), raw sensor data (electrocardiogram, X-ray...) and processes. A prototype has been implemented and is illustrated in the cardiology domain to finalise processes in order to detect heart arrhythmia and acute myocardial ischemia that may lead to sudden cardiac death.
KeywordsSoftware Component Data Warehouse Multidimensional Data Acute Myocardial Ischemia SIGMOD Record
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- H. Behlouli, M. Miquel, J. Fayn, P. Rubel: Towards Self-Improving NN based ECG classifiers IEEE Engineering in Medicine an Biology, 18th Annual International Conference, Amsterdam, October 31-November 3, 1996Google Scholar
- S. Chaudhuri, U. Dayal: An overview of Data Warehousing and OLAP technology, ACM SIGMOD Record 26 (1), 1997.Google Scholar
- E.F. Ewen, C.E. Medsker, L.E Duterhoft: Data Warehousing in an Integrated Health System; Building the Business Case ACM First International Workshop on Data Warehousing and OLAP (DOLAP), November 7, 1998, Bethesda, Maryland, USAGoogle Scholar
- N.I Hachem, K. Qiu, M. Gennert, M. Ward: Managing Derived Data in the Gaea Scientific DBMS, Proceedings of the 19th International Conference on Very Large Data Bases, (VLDB’93), Dublin, Ireland.Google Scholar
- W.H. Inmon: Building the Data Warehouse, Published by: Wiley Computer Publishing, 1996Google Scholar
- J. Niinimäki, G. Selén, M. Kailajärvi, P. Grönroos, K. Irjala, J. Forström Medical Data Warehouse, an investment for better medical care, Medical Informatics in Europe (MIE’96), Copenhagen, Denmark, August 1996Google Scholar
- T.B. Pedersen, C.S. Jensen: Research Issues in Clinical Data Warehousing Proceedings 10th Int. Conf. on Scientific and Statistical Database Management (SSDBM), Capri, (Italy,) 1998Google Scholar
- T.B. Pedersen, C.S. Jensen: Clinical Data Warehousing: A Survey, Proceedings of 7th Mediterranean Conference on Medical and Biological Engineering and Computing, 1998Google Scholar
- T.B. Pedersen, C.S. Jensen: Multidimensional Data Modeling for Complex Data, Proceedings of the 15th International Conference on Data Engineering (ICDE), 23–26 March 1999, Sydney, Australia, IEEE Computer Society PressGoogle Scholar
- J. Widom: Research Problems in Data Warehousing. Proceedings of the 1995 International Conference on Information and Knowledge Management (CIKM), November 28-December 2, 1995, Baltimore, Maryland, USAGoogle Scholar
- K. Yetongnon, C. Binquet, C. Quantin, A. Tchounikine, A. Flory, E. Kerkri: Organisational and Semantic Aspects for Data Warehousing: Application to Cancerology Proc. Medical Informatics Europe (MIE), Hannover, Germany, august-sept 2000Google Scholar
- M. Zemankova, Y.E. Ioannidis: Scientific Databases-State of the Art and Future Directions. Proceedings of the 20th International Conference on Very Large Data Bases, (VLDB’94), September 12–15, 1994, Santiago de Chile, Chile.Google Scholar