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Author:

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.)

Indexed by:

EI Scopus SCIE

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

  • [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;;

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Source :

TSINGHUA SCIENCE AND TECHNOLOGY

ISSN: 1007-0214

Year: 2023

Issue: 3

Volume: 28

Page: 525-540

6 . 6 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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