Predictive pattern analysis using SOM in medical data sets for medical treatment service

This paper proposes a new method of patterns analysis using SOM in medical data sets for medical treatment service under ubiquitous computing environment which is required by real time accessibility and agility. In this paper, it is necessary for us to classify disease patterns in the medical histor...

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Bibliographic Details
Published in2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology : 21-24 May 2014 pp. 1 - 5
Main Authors Young Sung Cho, Keun Ho Ryu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2014
Subjects
Clustering algorithms
Data mining
Diseases
History
k-Means
Medical diagnostic imaging
Medical Record
Medical treatment
Neural networks
SOMT(Self-Organizing Map)
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DOI10.1109/CIBCB.2014.6845512

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Summary:This paper proposes a new method of patterns analysis using SOM in medical data sets for medical treatment service under ubiquitous computing environment which is required by real time accessibility and agility. In this paper, it is necessary for us to classify disease patterns in the medical historical record to join the information of patient, using SOM neural network with input vectors of different features, disease code, input factors in order to take the medical treatment service in medical data sets, to reduce patients' search effort to get the information of diagnosis for recovering their health and to improve the rate of accuracy. To verify improved performance, we make experiments with dataset collected in medical center.
DOI:10.1109/CIBCB.2014.6845512