A Risk Assessment Approach of Hypertension Based on Mobile Crowd Sensing
文献类型：期刊论文
| 作者 | Zhao, Huan-Huan1,2,3; Ma, Zu-Chang2; Sun, Yi-Ning2
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| 刊名 | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 36 |
| 关键词 | mobile crowd sensing hypertension risk assessment BP neural network real time |
| ISSN号 | 1016-2364 |
| DOI | 10.6688/JISE.202009_36(5).0012 |
| 通讯作者 | Zhao, Huan-Huan(zhhh206@126.com) |
| 英文摘要 | Mobile crowd sensing (MCS) makes full use of the sensing and wireless communication capabilities of smart mobile devices to collect real-time information effectively. It makes it possible to monitor people's health condition in real time. Our health information collected through MCS can be used to improve healthcare service. Hypertension is a widespread chronic disease, and preventing hypertension can effectively reduce the incidence of cardiovascular disease. In this paper, we propose a hypertension risk assessment approach based on mobile crowd sensing, which allows for real time health monitoring and warning. In order to stimulate the enthusiasm of MCS volunteers, optimized communication model is used to reduce the communication cost of non-data-users. Additionally, the current hypertension risk status of patients will be feed back to them in real time. In our approach, binary logistic regression is used to select risk factors of hypertension, and then the risk factors are used as the inputs of BP neural network to construct the risk prediction model. Furthermore, the hypertension risk is further divided into low risk, medium risk and high risk through cumulative distribution function. 4498 samples from a community health service center in Hefei area were used to evaluate the performance of the proposed approach. The experimental results show that the proposed approach can provide real-time, effective monitoring and dynamic feedback of the hypertension risk, offering a novel clinical tool for the early warning of hypertension. The proposed approach also provides a general framework for risk assessment of other chronic diseases. |
| WOS关键词 | BLOOD-PRESSURE ; INCIDENT HYPERTENSION ; ENERGY-EFFICIENT ; PREDICTION ; CLASSIFICATION ; POPULATION ; MODEL ; CHINESE ; SCORE |
| 资助项目 | Major Science and Technology Project of Anhui Province[18030801133] ; University Natural Science Foundation of Anhui Province[KJ2017A419] ; Natural Science Foundation of Anhui Province[1608085MF 127] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000565376700012 |
| 出版者 | INST INFORMATION SCIENCE |
| 资助机构 | Major Science and Technology Project of Anhui Province ; University Natural Science Foundation of Anhui Province ; Natural Science Foundation of Anhui Province |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/70397]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Zhao, Huan-Huan |
| 作者单位 | 1.ChuZhou Univ, Sch Comp & Informat Engn, Chuzhou 239000, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China 3.Univ Sci & Technol China, Hefei 230026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Huan-Huan,Ma, Zu-Chang,Sun, Yi-Ning. A Risk Assessment Approach of Hypertension Based on Mobile Crowd Sensing[J]. JOURNAL OF INFORMATION SCIENCE AND ENGINEERING,2020,36. |
| APA | Zhao, Huan-Huan,Ma, Zu-Chang,&Sun, Yi-Ning.(2020).A Risk Assessment Approach of Hypertension Based on Mobile Crowd Sensing.JOURNAL OF INFORMATION SCIENCE AND ENGINEERING,36. |
| MLA | Zhao, Huan-Huan,et al."A Risk Assessment Approach of Hypertension Based on Mobile Crowd Sensing".JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 36(2020). |
入库方式： OAI收割
来源：合肥物质科学研究院
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