CORC  > 北京大学  > 工学院
Causes of Death in the United States, 1999 to 2014
Jiang, Hanyu ; Wu, Hang ; Wang, May Dongmei
2017
英文摘要Statistical methods have been widely used in studies of public health. Although useful in clinical research and public health policy making, these methods could not find correlation among health conditions automatically, or capture the temporal evolution of causes of death correctly. To cope with two challenges above, we implement the unsupervised machine learning method "topic model" to study the United States death reporting data. Our model successfully groups morbidities based on their correlation, and reveals the temporal evolution of these groups from 1999 to 2014. This result is validated by existing literature, and provides a novel view that enables clinical practitioners to make more accurate healthcare decisions, and public health policymakers to make better policy.; Department of Biomedical Engineering, Peking University, China; CPCI-S(ISTP); 177-180
会议录4th IEEE EMBS International Conference on Biomedical and Health Informatics (BHI)
语种英语
内容类型会议论文
源URL[http://ir.pku.edu.cn/handle/20.500.11897/469889]  
专题工学院
推荐引用方式
GB/T 7714
Jiang, Hanyu,Wu, Hang,Wang, May Dongmei. Causes of Death in the United States, 1999 to 2014[C]. 见:.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace