| Application of Fuzzy Cluster Analysis Method in Evaluating Relevant Index and Recognizing Risks of Coronary Heart Disease in the Aged |
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| 引用本文： | 耿辉,杨玉坤. Application of Fuzzy Cluster Analysis Method in Evaluating Relevant Index and Recognizing Risks of Coronary Heart Disease in the Aged[J]. 东华大学学报(英文版), 2003, 20(3) |
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| 作者姓名： | 耿辉 杨玉坤 |
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| 作者单位： | Department of Mathematics，Shanghai University，Shanghai，200436，China Pacific Insurance (Group)Co.，Ltd，Shanghai，200002 |
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| 基金项目： | Projects supported by Swiss Re-Fudan Research Foundation，Shanghai Key-point Science & Constructive project |
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| 摘 要： | The risk recognition model for preventing and monitoring the Coronary Heart Diseases (CHD) in the aged is proposed, which is based on the testing results of four indexes and includes Low Density Lipoprotein (LDL), Total Cholesterol (TC), Triglyceridemia (TG) and age. Some people who took the health checkup in Shanghai Xinhua Hospital are classified into 3 groups, and each group is associated with prevalence risk of contracting CHD. Then the fuzzy recognition method is applied to evaluate the risk of CHD. The accuracy rate is up to 85%. The model is applicable to not only analysis of risk in medical but also analysis of risk in finance, insurance and some other fields.
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Application of Fuzzy Cluster Analysis Method in Evaluating Relevant Index and Recognizing Risks of Coronary Heart Disease in the Aged |
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| GENG Hui. Application of Fuzzy Cluster Analysis Method in Evaluating Relevant Index and Recognizing Risks of Coronary Heart Disease in the Aged[J]. Journal of Donghua University, 2003, 20(3) |
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| Authors: | GENG Hui |
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| Affiliation: | 1. Department of Mathematics,Shanghai University,Shanghai,200436
2. China Pacific Insurance (Group) Co.,Ltd,Shanghai,200002 |
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| Abstract: | The risk recognition model for preventing and monitoring the Coronary Heart Diseases (CHD) in the aged is proposed, which is based on the testing results of four indexes and includes Low Density Lipoprotein (LDL), Total Cholesterol (TC), Triglyceridemia (TG) and age. Some people who took the health checkup in Shanghai Xinhua Hospital are classified into 3 groups, and each group is associated with prevalence risk of contracting CHD. Then the fuzzy recognition method is applied to evaluate the risk of CHD. The accuracy rate is up to 85%. The model is applicable to not only analysis of risk in medical but also analysis of risk in finance, insurance and some other fields. |
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| Keywords: | fuzzy cluster analysis fuzzy pattern recognition analysis of risk |
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