Research on Fuzzy Clustering of EMR Based on XML

Author

Xu Yabin ; Chen Jian

Author_Institution

Inst. of Comput., Beijing Inf. Sci. & Technol. Univ., Beijing, China

fYear

2010

fDate

23-25 April 2010

Firstpage

1

Lastpage

4

Abstract

With the continuous promotion and gradual adoption of EMR, it must have accumulated a great number of valuable medical data. As there are a large number of unstructured data in the EMR such as text and images, and there is some uncertainty in symptoms and diseases description, these determine the need of using XML database to store EMR, and using fuzzy clustering algorithm to analyze for XML document. First, the characteristics of EMR and the significance of clustering study on EMR are described in this paper. Then, the specific data preparation process on XML EMR is given, the fuzzy C-means clustering algorithm is introduced, and the optimizing selection methods of optimal weighted exponent m* and the optimal clusters number c* are given. Finally, the clustering results aim at different number of samples and the evaluation on clustering method based on experimental results are given.

Keywords

XML; fuzzy set theory; mathematics computing; medical administrative data processing; pattern clustering; XML EMR; XML database; XML document analysis; data preparation process; fuzzy C-mean clustering algorithm; fuzzy clustering algorithm; medical data; optimal cluster number c*; optimal weighted exponent m*; selection method optimisation; Algorithm design and analysis; Biomedical imaging; Clustering algorithms; Clustering methods; Diseases; Image analysis; Image databases; Optimization methods; Uncertainty; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5315-3

Type

conf

DOI

10.1109/ICBECS.2010.5462395

Filename

5462395