Title :
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
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;
Conference_Titel :
Biomedical Engineering and Computer Science (ICBECS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5315-3
DOI :
10.1109/ICBECS.2010.5462395
