The Development of Health Care Data Warehouses to Support Data Mining Export

@article{citeulike:2248101, abstract = {Clinical data warehouses offer tremendous benefits as a foundation for data mining. By serving as a source for comprehensive clinical and demographic information on large patient populations, they streamline knowledge discovery efforts by providing standard and efficient mechanisms to replace time-consuming and expensive original data collection, organization, and processing. Building effective data warehouses requires knowledge of and attention to key issues in database design, data acquisition and processing, and data access and security. In this article, the authors provide an operational and technical definition of data warehouses, present examples of data mining projects enabled by existing data warehouses, and describe key issues and challenges related to warehouse development and implementation.}, author = {Lyman, Jason A. and Scully, Kenneth and Harrison}, booktitle = {Clinical Data Mining and Warehousing}, citeulike-article-id = {2248101}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.cll.2007.10.003}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/18194718}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=18194718}, citeulike-linkout-3 = {http://www.sciencedirect.com/science/article/B75HR-4RK4KGR-8/2/c72f4f60da8b1633d98adfa9bacbeebe}, doi = {10.1016/j.cll.2007.10.003}, journal = {Clinics in Laboratory Medicine}, keywords = {data, mining}, month = {March}, number = {1}, pages = {55--71}, posted-at = {2008-08-27 22:30:17}, priority = {2}, title = {The Development of Health Care Data Warehouses to Support Data Mining}, url = {http://dx.doi.org/10.1016/j.cll.2007.10.003}, volume = {28}, year = {2008} }

TY - JOUR ID - citeulike:2248101 L3 - citeulike-article-id:2248101 N2 - Clinical data warehouses offer tremendous benefits as a foundation for data mining. By serving as a source for comprehensive clinical and demographic information on large patient populations, they streamline knowledge discovery efforts by providing standard and efficient mechanisms to replace time-consuming and expensive original data collection, organization, and processing. Building effective data warehouses requires knowledge of and attention to key issues in database design, data acquisition and processing, and data access and security. In this article, the authors provide an operational and technical definition of data warehouses, present examples of data mining projects enabled by existing data warehouses, and describe key issues and challenges related to warehouse development and implementation. IS - 1 JF - Clinics in Laboratory Medicine EP - 71 TI - The Development of Health Care Data Warehouses to Support Data Mining VL - 28 T2 - Clinical Data Mining and Warehousing SP - 55 KW - data KW - mining AU - Lyman, Jason AU - Scully, Kenneth AU - Harrison PY - 2008/03// UR - http://dx.doi.org/10.1016/j.cll.2007.10.003 ER -