| 一种心血管疾病数据分析方法及系统实现 |
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| 引用本文： | 陈逸杰,唐加山.一种心血管疾病数据分析方法及系统实现[J].教育技术导刊,2019,18(10):117-120. |
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| 作者姓名： | 陈逸杰 唐加山 |
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| 作者单位： | 南京邮电大学 理学院，江苏 南京 210023 |
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| 基金项目： | 江苏省研究生科研与实践创新计划项目（SJCX17_0220） |
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| 摘 要： | 随着人们日常生活水平的提高，全国心血管疾病患病人数已接近21%，心血管疾病对生命的威胁愈加严重，已成为我国居民的主要死亡原因之一。因此，对心血管疾病数据进行统计分析，提前预警显得尤为重要。为了得到更贴合实际的各指标正常区间，在收集指标时新增“用户自我感觉”指标作为用户身体状况自评数据，并结合各指标已有数据划分健康人群，得到新的正常区间，体检人员一旦有相关指标出现异常便计入高发人群数。以冠心病为例作出高发人群数趋势图，并设计体检信息管理系统，可对上传的体检数据及用户身体状况自评数据进行大数据分析得到疾病预警结论，并告知体检人员身体健康状况。
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| 关 键 词： | 心血管疾病 用户身体状况自评 数据分析 健康预警 |
| 收稿时间： | 2019-02-26 |
A Method and System for Analyzing Cardiovascular Disease Data |
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| CHEN Yi-jie,TANG Jia-shan.A Method and System for Analyzing Cardiovascular Disease Data[J].Introduction of Educational Technology,2019,18(10):117-120. |
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| Authors: | CHEN Yi-jie TANG Jia-shan |
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| Institution: | College of Science， Nanjing University of Posts and Telecommunications， Nanjing 210023， China |
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| Abstract: | With the improvement of people's daily life， the number of patients with cardiovascular disease in the country is close to 21%. The threat of cardiovascular disease to life is more serious， which is the main cause of death for Chinese residents. Therefore， it is very important to make statistical analysis of cardiovascular disease date and early warning. In order to get the normal interval of each indicator that is more realistic， this paper adds the “user self-feeling” indicator as the self-assessment data of the user's physical condition， and divides the healthy population with the existing data of each indicator to obtain a new normal interval； Medical examination personnel will count the number of high-risk populations if there are abnormalities in relevant indicators. We take the coronary heart disease as an example to make a trend graph of the number of high-incidence populations， and propose corresponding health recommendations for the characteristics of high-incidence populations to make early preparations. Finally， the physical examination information management system is designed and applied to the actual data. The technology the uploaded physical examination data and the self-evaluation data of the user's physical condition can be analyzed by big data to obtain the disease early warning conclusion， and the physical examination personnel are informed of their own health status. |
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| Keywords: | cardiovascular disease self-evaluation of user's physical condition data analysis health warning |
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