title: Estimation of hypertension risk from lifestyle factors and health profile: a case study.
abstract: Hypertension is a highly prevalent risk factor for cardiovascular disease and it can also lead to other diseases which seriously harm the human health. Screening the risks and finding a clinical model for estimating the risk of onset, maintenance, or the prognosis of hypertension are of great importance to the prevention or treatment of the disease, especially if the indicator can be derived from simple health profile. In this study, we investigate a chronic disease questionnaire data set of 6563 rural citizens in East China and find out a clinical signature that can assess the risk of hypertension easily and accurately. The signature achieves an accuracy of about 83% on the external test dataset, with an AUC of 0.91. Our study demonstrates that a combination of simple lifestyle features can sufficiently reflect the risk of hypertension onset. This finding provides potential guidance for disease prevention and control as well as development of home care and home-care technologies.
authors.affiliation: Shenzhen Institutes of Advanced Technology and Key Laboratory for Health Informatics, Chinese Academy of Sciences, Shenzhen University Town, 1068 Xueyuan Avenue, Shenzhen 518055, China ; School of Computer Science and Engineering, Guilin University of Electronic Technology, Guilin 541004, China ; University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China.
authors.forename: Zhuoyuan
authors.identifier: 0000-0002-8201-1963
authors.initials: Z
authors.lastname: Zheng
authors.affiliation: Shenzhen Institutes of Advanced Technology and Key Laboratory for Health Informatics, Chinese Academy of Sciences, Shenzhen University Town, 1068 Xueyuan Avenue, Shenzhen 518055, China.
authors.forename: Ye
authors.identifier: 0000-0002-5351-8546
authors.initials: Y
authors.lastname: Li
authors.affiliation: Shenzhen Institutes of Advanced Technology and Key Laboratory for Health Informatics, Chinese Academy of Sciences, Shenzhen University Town, 1068 Xueyuan Avenue, Shenzhen 518055, China.
authors.forename: Yunpeng
authors.identifier: 0000-0001-8797-4243
authors.initials: Y
authors.lastname: Cai
mesh_terms: D005260:Female; D015438:Health Behavior; D006801:Humans; D006973:Hypertension / Q000453:epidemiology* / Q000209:etiology; D008019:Life Style; D008297:Male; D008955:Models, Cardiovascular; D015233:Models, Statistical; D012307:Risk Factors