doi: 10.7763/IJCTE.2010.V2.138
Modeling Clinical Database Using Time Series Based Temporal Mining
Akash Rajak1
,
Kanak Saxena2
- 1Krishna Institute of Engineering and Technology, Ghaziabad, India.
- 2Samrat Ashok Technological Institute, Vidisha, India.
Abstract
Clinical database contains huge amount of information about patients, medical tests and doctor’s prescription. As the result of laboratory test, findings of physical examination and diagnosis are noted during time points or periods, by adding time dimension in clinical database we can retrieve vital information from the database. This paper presents the study of diabetes mellitus type 1 patients on the basis of time series based representation of clinical temporal data.
Keywords
- temporal database
- blood glucose level
- insulin plasma level
- type 1 diabetes mellitus
- time series
How to Cite
Akash Rajak and Kanak Saxena, "Modeling Clinical Database Using Time Series Based Temporal Mining," International Journal of Computer Theory and Engineering, vol. 2, no. 2, pp. 185-188, 2010. https://doi.org/10.7763/IJCTE.2010.V2.138
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).