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http://dx.doi.org/10.14400/JDC.2015.13.2.393

Research of recognition factors of folk medicine using statistical testing and data mining  

Yoo, Jin Ah (Basic Fusion Institute, Jeonju University)
Choi, Kyoung-Ho (Dept. of Basic Medical(Statistics), Jeonju University)
Cho, Jung-Keun (Dept. of Radiological Science, Jeonju University)
Publication Information
Journal of Digital Convergence / v.13, no.2, 2015 , pp. 393-399 More about this Journal
Abstract
Nowaday, beyond the time of wellbeing and LOHAS, many people have great interest in self therapy, so it is called healing era. As the folk medicine fields are actively industrialized and the interest in health improvement, not disease cure, is increased, many researches about the alternative medicine and therapy in various fields are being performed. In the times of the interest in health improvement and spontaneous, natural healing ability of human body is getting increase, it is very meaningful to search the factors which consist of recognition to folk medicine. So in this study, we developed the questionaries on the basis of previous studies, researched the factors affecting the recognition to folk medicine using factor analysis, and tested statistically the difference of recognition character according to demo-statistical traits. As the result, the twenty-four measurable variables related to folk medicine are sorted to four factors, ie, health improvement factor, safety factor, psycholocial factor, and substitutional factor. And overall, the middle and senior ages, the forties to sixties, and higher-educated peoples have more experiences in folk medicine than the younger ages, below thirties and lower-educated peoples. The distiction of sex makes little differences.
Keywords
folk remedies; data mining; factor analysis; decision tree analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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