Identification of environmental and socioeconomic variables that are associated with TCM prescriptions

• Main Authors: Yu-Chen Chou, 周毓媜
• Other Authors: Sun-Chong Wang
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/7zgnjt

碩士 === 國立中央大學 === 系統生物與生物資訊研究所 === 105 === In the study of traditional Chinese medicine (TCM) prescriptions in the National Health Insurance database (2004 - 2013), the method of Artificial Intelligence (AI) found that TCM prescriptions clustered into years when the prescriptions were made. The aim of the study is to identify the factors that are associated with this clustering finding. Analysis of economics index data shows that, among the various socioeconomic variables, the Gross National Product (GDP) and Gross National Income (GNI) clusters in the same ways as TCM prescriptions. As these indexes measure prosperity of the society, the up and down of them can have an impact on the health of the population. The study suggests that, through TCM prescription patterns, an association is identified linking economic stress and population health.