Abstract: In order to maintain health during middle age and achieve successful aging, it is important to elucidate and prevent risk factors of middle-age stroke. This study investigated high risk groups of stroke in middle age population of Korea and provides basic material for establishment of stroke prevention policy by analyzing sudden perception of speech/language problems and clusters of multiple risk factors. This study analyzed 2,751 persons (1,191 males and 1,560 females) aged 40–59 who participated in the 2009 Korea National Health and Nutrition Examination Survey. Outcome was defined as prevalence of stroke. Set as explanatory variables were age, gender, final education, income, marital status, at-risk drinking, smoking, occupation, subjective health status, moderate physical activity, hypertension, and sudden perception of speech and language problems. A prediction model was developed by the use of a C4.5 algorithm of data-mining approach. Sudden perception of speech and language problems, hypertension, and marital status were significantly associated with stroke in Korean middle aged people. The most preferentially involved predictor was sudden perception of speech and language problems. In order to prevent middle-age stroke, it is required to systematically manage and develop tailored programs for high-risk groups based on this prediction model.

Haewon Byeon and Hyeung Woo Koh. “A Feature Analysis of Risk Factors for Stroke in the Middle-Aged Adults”. International Journal of Advanced Computer Science and Applications (IJACSA) 6.12 (2015). http://dx.doi.org/10.14569/IJACSA.2015.061213

@article{Byeon2015,
title = {A Feature Analysis of Risk Factors for Stroke in the Middle-Aged Adults},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061213},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061213},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {12},
author = {Haewon Byeon and Hyeung Woo Koh}
}