Health-adjusted life expectancy (HALE) in Chongqing, China, 2017: An artificial intelligence and big data method estimating the burden of disease at city level

被引：9

作者：

Ruan, Xiaowen ^{[1
]}

Li, Yue ^{[2
]}

Jin, Xiaohui ^{[3
]}

Deng, Pan ^{[1
]}

Xu, Jiaying ^{[1
]}

Li, Na ^{[4
]}

Li, Xian ^{[1
]}

Liu, Yuqi ^{[4
]}

Hu, Yiyi ^{[3
]}

Xie, Jingwen ^{[3
]}

Wu, Yingnan ^{[4
]}

Long, Dongyan ^{[1
]}

He, Wen ^{[4
]}

Yuan, Dongsheng ^{[3
]}

Guo, Yifei ^{[3
]}

Li, Heng ^{[1
]}

Huang, He ^{[5
]}

Yang, Shan ^{[5
]}

Han, Mei ^{[6
]}

Zhuang, Bojin ^{[1
]}

Qian, Jiang ^{[1
]}

Cao, Zhenjie ^{[6
]}

Zhang, Xuying ^{[2
]}

Xiao, Jing ^{[1
]}

Xu, Liang ^{[1
]}

机构：

[1] Ping An Technol Shenzhen Co Ltd, Shenzhen 518001, Peoples R China

[2] China Populat & Dev Res Ctr, 12 Dahuisi Rd, Beijing 100801, Peoples R China

[3] Ping An Technol Shenzhen Co Ltd, 316 Laoshan Rd, Shanghai 200122, Peoples R China

[4] Ping An Technol Shenzhen Co Ltd, Ping An Int Finance Ctr, 3 South Xinyuan Rd, Beijing 100011, Peoples R China

[5] Chongqing Municipal Hlth Commiss, 232 Renmin Rd, Chongqing 400015, Peoples R China

[6] Ping An Technol Shenzhen Co Ltd, Ping An Tech, US Res Lab, Suite 150,3000 El Camino Real, Palo Alto, CA 94306 USA

来源：

LANCET REGIONAL HEALTH-WESTERN PACIFIC | 2021年 / 9卷

关键词：

CAUSE-SPECIFIC MORTALITY; GLOBAL BURDEN; CLINICAL TEXT; RISK; EXTRACTION; CHALLENGES; INDEX;

D O I：

10.1016/j.lanwpc.2021.100110

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

Background: A universally applicable approach that provides standard HALE measurements for different regions has yet to be developed because of the difficulties of health information collection. In this study, we developed a natural language processing (NLP) based HALE estimation approach by using individual-level electronic medical records (EMRs), which made it possible to calculate HALE timely in different temporal or spatial granularities. Methods: We performed diagnostic concept extraction and normalisation on 13.99 million EMRs with NLP to estimate the prevalence of 254 diseases in WHO Global Burden of Disease Study (GBD). Then, we calculated HALE in Chongqing, 2017, by using the life table technique and Sullivan's method, and analysed the contribution of diseases to the expected years "lost" due to disability (DLE). Findings: Our method identified a life expectancy at birth (LE0) of 77.9 years and health-adjusted life expectancy at birth (HALE(0)) of 71.7 years for the general Chongqing population of 2017. In particular, the male LE0 and HALE(0) were 76.3 years and 68.9 years, respectively, while the female LE0 and HALE(0) were 80.0 years and 74.4 years, respectively. Cerebrovascular diseases, cancers, and injuries were the top three deterioration factors, which reduced HALE by 2.67, 2.15, and 1.19 years, respectively. Interpretation: The results demonstrated the feasibility and effectiveness of EMRs-based HALE estimation. Moreover, the method allowed for a potentially transferable framework that facilitated a more convenient comparison of cross-sectional and longitudinal studies on HALE between regions. In summary, this study provided insightful solutions to the global ageing and health problems that the world is facing. (C) 2021 The Authors. Published by Elsevier Ltd.

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