NDLI: Application of density estimation algorithms in analyzing co-morbidities of migraine

Content Provider	IEEE Xplore Digital Library
Author	Meng-Han Yang Yen-Jen Oyang Jong-Ling Fuh
Copyright Year	2011
Description	Author affiliation: Department of Computer Science and Information Engineering, National Taiwan University, Taipei City, Taiwan, ROC (Meng-Han Yang; Yen-Jen Oyang) \|\| Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei City, Taiwan, ROC (Jong-Ling Fuh)
Abstract	In this paper, we will propose a density estimation based data analysis procedure to investigate the co-morbid associations between migraine and the suspected diseases. The primary objective of this study has aimed to develop a novel analysis procedure that can discover insightful knowledge from large medical databases. The entire analysis procedure consists of two stages. During the first stage, a kernel density estimation algorithm named RVKDE is invoked to identify the samples of interest. Then, in the second stage, a density estimation algorithm based on generalized Gaussian components and named $G^{2}DE$ is invoked to provide a summarized description of the distribution. The results obtained by applying the proposed two-staged procedure to analyze co-morbidities of migraine reveal that the proposed procedure can effectively identify a number of clusters of samples with distinctive characteristics. Furthermore, it has been observed that the distinctive characteristics of the clusters are in conformity with recently discovered knowledge in biomedical research. Accordingly, it is conceivable that the proposed analysis procedure will be exploited to provide valuable clues of pathogenesis and facilitate development of proper treatment strategies.
Starting Page	578
Ending Page	585
File Size	833389
Page Count	8
File Format	PDF
ISBN	9781457716126
e-ISBN	9781457716133
DOI	10.1109/BIBMW.2011.6112432
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Design automation Pain co-morbidity migraine Density estimation algorithm Estimation Approximation algorithms Neck Diseases
Content Type	Text
Resource Type	Article

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