• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Lin, Xinshan (Lin, Xinshan.) | Lei, Yi (Lei, Yi.) | Chen, Jun (Chen, Jun.) | Xing, Zhihui (Xing, Zhihui.) | Yang, Ting (Yang, Ting.) | Wang, Qing (Wang, Qing.) | Wang, Chen (Wang, Chen.)

收录:

EI Scopus SCIE

摘要:

Chronic obstructive pulmonary disease (COPD) is a serious chronic respiratory disease. Improving the ability to identify patients with COPD in primary medical institutions is important to prevent and treat the disease. With the continuous development of medical digitization, the application of big data informatization in the medical and health fields has become possible. Recently, applying innovative technologies such as big data analysis, machine learning, and artificial intelligence-assisted decision-making in the medical field has become an interdisciplinary research hotspot. Based on the identification and diagnosis of COPD in the high-risk population, this study proposes a convenient and effective clinical decision support system to help identify patients with COPD in primary health institutions. The results of the preliminary experiments show that the proposed method is convenient and effective compared with the existing methods.

关键词:

case finding Sociology Machine learning Decision making Big Data clinical decision support system (CDSS) Pulmonary diseases chronic obstructive pulmonary disease (COPD) Decision support systems Spirometry artificial intelligence machine learning

作者机构:

  • [ 1 ] [Lin, Xinshan]China Japan Friendship Hosp, Dept Pulm & Crit Care Med, Beijing 100029, Peoples R China
  • [ 2 ] [Yang, Ting]China Japan Friendship Hosp, Dept Pulm & Crit Care Med, Beijing 100029, Peoples R China
  • [ 3 ] [Wang, Chen]China Japan Friendship Hosp, Dept Pulm & Crit Care Med, Beijing 100029, Peoples R China
  • [ 4 ] [Lin, Xinshan]Chinese Acad Med Sci & Peking Union Med Coll, Beijing 100005, Peoples R China
  • [ 5 ] [Yang, Ting]Chinese Acad Med Sci & Peking Union Med Coll, Beijing 100005, Peoples R China
  • [ 6 ] [Wang, Chen]Chinese Acad Med Sci & Peking Union Med Coll, Beijing 100005, Peoples R China
  • [ 7 ] [Lei, Yi]Beijing Univ Technol, Fac Informat Technol, Sch Software Engn, Beijing 100124, Peoples R China
  • [ 8 ] [Chen, Jun]Baidu Inc, Intelligent Healthcare Unit, Beijing 100093, Peoples R China
  • [ 9 ] [Xing, Zhihui]Baidu Inc, Intelligent Healthcare Unit, Beijing 100093, Peoples R China
  • [ 10 ] [Wang, Qing]Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

通讯作者信息:

  • [Yang, Ting]China Japan Friendship Hosp, Dept Pulm & Crit Care Med, Beijing 100029, Peoples R China;;[Wang, Chen]China Japan Friendship Hosp, Dept Pulm & Crit Care Med, Beijing 100029, Peoples R China;;[Yang, Ting]Chinese Acad Med Sci & Peking Union Med Coll, Beijing 100005, Peoples R China;;[Wang, Chen]Chinese Acad Med Sci & Peking Union Med Coll, Beijing 100005, Peoples R China;;[Wang, Qing]Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China;;

查看成果更多字段

相关关键词:

来源 :

TSINGHUA SCIENCE AND TECHNOLOGY

ISSN: 1007-0214

年份: 2023

期: 3

卷: 28

页码: 525-540

6 . 6 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:19

被引次数:

WoS核心集被引频次:

SCOPUS被引频次: 10

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 1

归属院系:

在线人数/总访问数:331/4913803
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司