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Tsinghua Science and Technology 2023, 28(3): 525-540 https://doi.org/10.26599/TST.2022.9010010
Open Access | Issue | Published: 13 December 2022

A Case-Finding Clinical Decision Support System to Identify Subjects with Chronic Obstructive Pulmonary Disease Based on Public Health Data

Show Author's Information Xinshan Lin1,5,  Yi Lei2,  Jun Chen3,  Zhihui Xing3,  Ting Yang1,5( ),  Qing Wang4( ),  Chen Wang1,5( )
Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
School of Software Engineering, the Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
Intelligent Healthcare Unit, Baidu Inc, Beijing 100093, China
Department of Automation, Tsinghua University, Beijing 100084, China
Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
Keywords:
artificial intelligence, machine learning, case finding, chronic obstructive pulmonary disease (COPD), clinical decision support system (CDSS)
Cite this article:
Lin X, Lei Y, Chen J, et al. A Case-Finding Clinical Decision Support System to Identify Subjects with Chronic Obstructive Pulmonary Disease Based on Public Health Data. Tsinghua Science and Technology, 2023, 28(3): 525-540. https://doi.org/10.26599/TST.2022.9010010
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Abstract Full text Electronic supplementary material About this article

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.


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About this article

A Case-Finding Clinical Decision Support System to Identify Subjects with Chronic Obstructive Pulmonary Disease Based on Public Health Data

Show Author's information Xinshan Lin1,5, Yi Lei2, Jun Chen3, Zhihui Xing3, Ting Yang1,5( ), Qing Wang4( ), Chen Wang1,5( )
Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing 100029, China
School of Software Engineering, the Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
Intelligent Healthcare Unit, Baidu Inc, Beijing 100093, China
Department of Automation, Tsinghua University, Beijing 100084, China
Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China

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.

Keywords: artificial intelligence, machine learning, case finding, chronic obstructive pulmonary disease (COPD), clinical decision support system (CDSS)

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Received: 03 March 2022
Accepted: 07 April 2022
Published: 13 December 2022
Issue date: June 2023

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© The author(s) 2023.

Acknowledgements

This work was supported by the Major Research Program of the National Natural Science Foundation of China (No. 91843302).

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The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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