Image mining in IRIS: integrated retinal information system
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
BORDER: Efficient Computation of Boundary Points
IEEE Transactions on Knowledge and Data Engineering
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With the increased emphasis on healthcare worldwide, the issue of being able to efficiently and effectively manage large amount of patient information in diverse medium becomes critical. In this work, we will demonstrate how advanced database technologies are used in RETINA, an integrated system for the screening and management of diabetic patients. RETINA captures the profile and retinal images of diabetic patients and automatically processes the retina fundus images to extract interesting features. Given the wealth of information acquired, we employ novel techniques to determine the risk profile of patients for better patient care management and to target significant subpopulations for more detailed studies. The results of such studies can be used to introduce effective preventive measures for the targeted sub-populations.