高级检索
当前位置: 首页 > 详情页

Application of Data Mining to Zheng Studies of Chinese Medicine based on CER

文献详情

资源类型:
WOS体系:

收录情况: ◇ CPCI(ISTP)

机构: [1]The 2nd Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China [2]The School of Clinic medicine, Guangzhou University of Chinese Medicine, Guangzhou, China
出处:
ISSN:

关键词: Comparative effective research machine learning Zheng study Chinese medicine

摘要:
Comparative effectiveness research (CER) is a new clinical study model featured by its strategic framework consists of four categories and three themes. The core strategy of CER is to conduct observational longitude research supported by electronic registry and large database based on real world practice. Since CER studies do not uses a classic randomized control trial (RCT) design, the well-developed data analytic methods for RCTs are challenged. The data groups which are not acquired from the same time point, or have significant difference at the baseline are unable to be compared by the classic differential statistical methods, or the outcome will be without robust statistical support. In this paper, we described the characteristics of the Zheng studies of Chinese medicine. Then some data analytic methods based on machine learning are introduced as potential solutions for the data processing in the CER research of Chinese medicine. Finally, a new strategic framework is introduced to establish the CER methodology for Chinese medicine.

基金:

基金编号: No. 81274003

语种:
WOS:
第一作者:
第一作者机构: [1]The 2nd Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
共同第一作者:
通讯作者:
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:2022 今日访问量:0 总访问量:648 更新日期:2024-07-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 广东省中医院 技术支持:重庆聚合科技有限公司 地址:广州市越秀区大德路111号