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Machine learning-assisted construction of COPD self-evaluation questionnaire (COPDEQ): anational multicentre study in China 期刊论文

编号：

6A6AAAA2C8E31A878E1108DECDEE35F1
作者：

Ma, Yiming#^[1,2,3,4]Zhan, Zijie#^[1,2,3,4,5]Chen, Yahong^[6];Zhang, Jing^[7];Li, Wen^[8];He, Zhiyi^[9];Xie, Jungang^[10];Zhao, Haijin^[11];Xu, Anping^[12];Peng, Kun^[13];Wang, Gang^[14];Zeng, Qingping^[15];Yang, Ting(杨汀)*^{[16,17,18,19,20]}Chen, Yan*^[1,2,3,4]Wang, Chen(王辰)^{[16,17,18,19,20,21,22]}
语种：

英文
期刊：

JOURNAL OF GLOBAL HEALTH ISSN：2047-2978 2025 年 15 卷 ; Jan 3
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摘要：

Background Approximately 70% of chronic obstructive pulmonary disease (COPD) is underdiagnosed worldwide. We aimed to develop and validate a COPD self-evaluation questionnaire (COPD-EQ) that is better suited for COPD screening in China. Methods We developed a primary version of COPD-EQ based on the Delphi method. Then, we conducted a nationwide multicentre prospective to validate our novel COPDEQ screening ability. To improve the screening ability of COPD-EQ, we used a series of machine learning (ML)-based methods, including logistic regression, XgBoost, LightGBM, and CatBoost. These models were developed and then evaluated on a random 3:1 train/test split. Results Through the Delphi approach, we developed the primary version of COPD-EQ with nine items. In the following prospective multicentre study, we recruited 1824 outpatients from 12 sites, of whom 404 (22.1%) were diagnosed with COPD. After the score assignment assisted by ML models and the Shapley Additive Explanation method, six of nine items were retained for a briefer version of COPD-EQ. The scoring-based method achieves an AUC score of 0.734 at a threshold of 4.0. Finally, a novel six-item COPDEQ questionnaire was developed. Conclusions The COPD-EQ questionnaire was validated to be reliable and accurate in COPD screening for the Chinese population. The ML model can further improve the questionnaire''s screening ability.
推荐引用方式
GB/T 7714：

Ma Yiming,Zhan Zijie,Chen Yahong, et al. Machine learning-assisted construction of COPD self-evaluation questionnaire (COPDEQ): anational multicentre study in China [J].JOURNAL OF GLOBAL HEALTH,2025,15.
APA：

Ma Yiming,Zhan Zijie,Chen Yahong,Zhang Jing,&Wang Chen.(2025).Machine learning-assisted construction of COPD self-evaluation questionnaire (COPDEQ): anational multicentre study in China .JOURNAL OF GLOBAL HEALTH,15.
MLA：

Ma Yiming, et al. "Machine learning-assisted construction of COPD self-evaluation questionnaire (COPDEQ): anational multicentre study in China" .JOURNAL OF GLOBAL HEALTH 15(2025).
入库时间：

1/15/2025 9:31:30 AM
更新时间：

1/15/2025 9:31:30 AM
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