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Applications of Data Mining Methods in the Integrative Medical Studies of Coronary Heart Disease: Progress and Prospect.

Authors :
Yan Feng
Yixin Wang
Fang Guo
Hao Xu
Source :
Evidence-based Complementary & Alternative Medicine (eCAM). 2014, Vol. 2014, p1-8. 8p.
Publication Year :
2014

Abstract

A large amount of studies show that real-world study has strong external validity than the traditional randomized controlled trials and can evaluate the effect of interventions in a real clinical setting, which open up a new path for researches of integrative medicine in coronary heart disease. However, clinical data of integrative medicine in coronary heart disease are large in amount and complex in data types, making exploring the appropriate methodology a hot topic. Data mining techniques are to analyze and dig out useful information and knowledge from the mass data to guide people's practices. The present review provides insights for the main features of data mining and their applications of integrative medical studies in coronary heart disease, aiming to analyze the progress and prospect in this field. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1741427X
Volume :
2014
Database :
Academic Search Index
Journal :
Evidence-based Complementary & Alternative Medicine (eCAM)
Publication Type :
Academic Journal
Accession number :
100528058
Full Text :
https://doi.org/10.1155/2014/791841