Application of Dynamic Clustering Algorithm in Medical Surveillance

, and . International Journal of Computer Science, Engineering and Applications 08 (01): 01-05 (February 2018)


The traditional medical analysis is based on the static data, the medical data is about to be analysis after the collection of these data sets is completed, but this is far from satisfying the actual demand. Large amounts of medical data are generated in real time, so that real-time analysis can yield more value. This paper introduces the design of the Sentinel which can realize the real-time analysis system based on the clustering algorithm. Sentinel can realize clustering analysis of real-time data based on the clustering algorithm and issue an early alert.

Links and resources

additional links:
BibTeX key:
search on:

Comments and Reviews  

There is no review or comment yet. You can write one!


Cite this publication