Abstract
This paper outlines the methodologies that can be used to perform an intelligent analysis of diabetic patients' data, realized in a distributed management context. We present a decision-support system architecture based on two modules, a Patient Unit and a Medical Unit, connected by telecommunication services. We stress the necessity to resort to temporal abstraction techniques, combined with time series analysis, in order to provide useful advice to patients; finally, we outline how data analysis and interpretation can be cooperatively performed by the two modules.
Full text
PDF
Selected References
These references are in PubMed. This may not be the complete list of references from this article.
- Bellazzi R., Siviero C., Stefanelli M., De Nicolao G. Adaptive controllers for intelligent monitoring. Artif Intell Med. 1995 Dec;7(6):515–540. doi: 10.1016/0933-3657(95)00025-x. [DOI] [PubMed] [Google Scholar]
- Deutsch T., Lehmann E. D., Carson E. R., Roudsari A. V., Hopkins K. D., Sönksen P. H. Time series analysis and control of blood glucose levels in diabetic patients. Comput Methods Programs Biomed. 1994 Jan;41(3-4):167–182. doi: 10.1016/0169-2607(94)90053-1. [DOI] [PubMed] [Google Scholar]