Multi-dimensional Time Series Correlation Analysis Based on Hyperthyroidism Clinical Parameters

doi:10.3969/j.issn.1006-2475.2016.04.003

Abstract

Abstract:

In recent years, clinical data mining analysis is getting more and more popular, and medical data contain a lot of valuable information that is waiting to be tapped. With clinical test indicators data time series correlation analysis, we found that relevance of the trend among clinical test indicators, which has a very important value for the conduct of precision medical. This article makes correlation analysis among clinical data which Gaussian Mixture Model is applied to, and Related Support Method has been proposed to measure the extent of the strength of the association among indicators. Finally, through the analysis of the clinical parameters data stream which is from more than 100 hyperthyroidism patients, the correlation support of all pairwise indicators is calculated and the strength of the correlation between the indexes mutual has been generated.

Key words: GMM, multi-dimensional analysis, correlation support, hyperthyroidism

CLC Number:

TP302','1');return false;" target="_blank"> text-indent: 21pt">TP302

WANG Zhi-qiang, LE Jia-jin, CHEN De-hua.

Multi-dimensional Time Series Correlation Analysis Based on Hyperthyroidism Clinical Parameters[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2016.04.003.

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