临床传统医学和药理学（英文）2025，Vol.6Issue(1)：1-7,7.DOI:10.1016/j.ctmp.2025.200201
基于机器学习的骨科疼痛患者睡眠状态预测研究
Research on predicting the sleep status of orthopedic pain patients based on machine learning
摘要
Abstract
Background:Machine learning(ML)methodologies offer significant flexibility and scalability,driving their adop-tion in medical research,including pain studies.However,their potential in analyzing the interplay between pain factors and sleep remains underexplored. Objective:This study aimed to investigate the effects of pain-related factors on deep sleep duration in patients and to develop predictive models using ML techniques. Methods:Six machine learning models were employed to analyze pain-related factors affecting sleep,with the most stable and accurate model selected for further analysis.The Gradient Boosted Decision Tree(GBDT)model demonstrated superior performance,achieving an internal validation accuracy of 0.897 and an external validation accuracy of 0.885,with area under the curve(AUC)values exceeding 0.6 in both validations.Importance analysis using the GBDT model identified key factors influencing sleep duration. Results:Trauma-related pain was identified as the most significant factor affecting deep sleep duration(Impor-tance score:0.16),followed closely by the use of alternative medical therapies(Importance score:0.14).Among the 385 patients included,203 reported utilizing alternative medical therapies,such as acupuncture,moxibus-tion,and herbal remedies.Patients using these therapies experienced a reduced risk of disruptions in deep sleep duration,highlighting the potential analgesic and therapeutic effects of these interventions. Conclusion:ML models effectively identify factors influencing sleep in pain patients.Alternative therapies may mitigate deep sleep disturbances,highlighting their potential role in pain management.关键词
机器学习/睡眠状态/疼痛管理/替代医学疗法/针灸和艾灸Key words
Machine learning/Sleep status/Pain management/Alternative medical therapy/Acupuncture and moxibustion引用本文复制引用
俞益康,李寓希,萨布尔·赛义德,扇原淳,西村昭治,许超,吕圭源,金群..基于机器学习的骨科疼痛患者睡眠状态预测研究[J].临床传统医学和药理学（英文）,2025,6(1):1-7,7.基金项目
The work was supported by the National Natural Science Founda-tion of China(No.:82304760) （No.:82304760）
Zhejiang Province Traditional Chinese Medicine Science and Technology Program Project(No.:2023ZL429) （No.:2023ZL429）
General scientific research projects of Zhejiang Provincial Department of Education(No.:Y202044448) （No.:Y202044448）
Zhejiang Province College Student Sci-ence and Technology Innovation Project(No.:2017R410007). （No.:2017R410007）
