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From Model to Bedside: What Kind of OSA Risk Prediction Tools Do We Need More Of? [Response to Letter].从模型到临床应用:我们更需要哪种阻塞性睡眠呼吸暂停风险预测工具?[对信件的回复]
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J Transl Med. 2025 Jun 22;23(1):695. doi: 10.1186/s12967-025-06663-4.
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Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models-an empirical analysis of Indian patient liver disease datasets.使用混合SMOTE-ENN平衡机器学习模型增强肝病诊断——对印度患者肝病数据集的实证分析
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Relationships between vitamin C intake and COPD assessed by machine learning approaches from the NHANES (2017-2023).通过机器学习方法对美国国家健康与营养检查调查(2017 - 2023年)数据评估维生素C摄入量与慢性阻塞性肺疾病之间的关系。
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From Model to Bedside: What Kind of OSA Risk Prediction Tools Do We Need More of? [Letter].

作者信息

Pan Hongyu, Fei Yuchang

机构信息

Department of Traditional Chinese Medicine, Shangyu People's Hospital of Shaoxing, Shaoxing University, Shaoxing, Zhejiang, 312300, People's Republic of China.

Department of Integrated Chinese and Western Medicine, The First People's Hospital of Jiashan, Jiashan Hospital Affiliated of Jiaxing University, Jiaxing, Zhejiang, 314100, People's Republic of China.

出版信息

Nat Sci Sleep. 2025 Jul 12;17:1601-1602. doi: 10.2147/NSS.S549821. eCollection 2025.

DOI:10.2147/NSS.S549821
PMID:40672998
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12266068/
Abstract
摘要