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.
Abstract
摘要
相似文献
1
From Model to Bedside: What Kind of OSA Risk Prediction Tools Do We Need More of? [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？[信函]
Nat Sci Sleep. 2025 Jul 12;17:1601-1602. doi: 10.2147/NSS.S549821. eCollection 2025.
2
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]
Nat Sci Sleep. 2025 Aug 7;17:1805-1806. doi: 10.2147/NSS.S554173. eCollection 2025.
3
"I Don't Understand Their Sense of Belonging": Exploring How Nonbinary Autistic Adults Experience Gender.“我不理解他们的归属感”：探索非二元性别的自闭症成年人如何体验性别。
Autism Adulthood. 2024 Dec 2;6(4):462-473. doi: 10.1089/aut.2023.0071. eCollection 2024 Dec.
4
"Just Ask What Support We Need": Autistic Adults' Feedback on Social Skills Training.“只需询问我们需要什么支持”：成年自闭症患者对社交技能培训的反馈
Autism Adulthood. 2025 May 28;7(3):283-292. doi: 10.1089/aut.2023.0136. eCollection 2025 Jun.
5
Community-dwelling persons with dementia: what do they need? What do they demand? What do they do? A systematic review on the subjective experiences of persons with dementia.社区居住的痴呆症患者：他们需要什么？他们要求什么？他们做什么？对痴呆症患者主观体验的系统评价。
Aging Ment Health. 2012;16(3):378-90. doi: 10.1080/13607863.2011.614594. Epub 2012 Jan 18.
6
Adapting Safety Plans for Autistic Adults with Involvement from the Autism Community.在自闭症群体的参与下为成年自闭症患者调整安全计划。
Autism Adulthood. 2025 May 28;7(3):293-302. doi: 10.1089/aut.2023.0124. eCollection 2025 Jun.
7
Understanding and Overcoming Negative Attitudes That Hinder Adoption of Reablement in Dementia Care: An Explorative Qualitative Study.理解并克服阻碍痴呆症护理中采用康复护理的消极态度：一项探索性定性研究
J Multidiscip Healthc. 2025 Jun 12;18:3411-3422. doi: 10.2147/JMDH.S522515. eCollection 2025.
8
"In a State of Flow": A Qualitative Examination of Autistic Adults' Phenomenological Experiences of Task Immersion.“心流状态”：对自闭症成年人任务沉浸现象学体验的质性研究
Autism Adulthood. 2024 Sep 16;6(3):362-373. doi: 10.1089/aut.2023.0032. eCollection 2024 Sep.
9
Media campaigns to promote smoking cessation among socioeconomically disadvantaged populations: what do we know, what do we need to learn, and what should we do now?在社会经济弱势群体中促进戒烟的媒体宣传活动：我们知道什么，需要学习什么，以及我们现在应该做什么？
Soc Sci Med. 2008 Nov;67(9):1343-55. doi: 10.1016/j.socscimed.2008.06.037. Epub 2008 Aug 7.
10
Why Are Autistic People More Likely to Experience Suicidal Thoughts? Applying the Integrated Motivational-Volitional Model with Autistic Adults.为什么自闭症患者更容易产生自杀念头？将综合动机-意志模型应用于成年自闭症患者。
Autism Adulthood. 2024 Sep 16;6(3):272-283. doi: 10.1089/aut.2023.0039. eCollection 2024 Sep.
引用本文的文献
1
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]
Nat Sci Sleep. 2025 Aug 7;17:1805-1806. doi: 10.2147/NSS.S554173. eCollection 2025.
本文引用的文献
1
Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial.评估INTELLECT认知行为疗法移动应用程序对有风险的日本员工焦虑和抑郁症状的疗效：随机对照试验。
JMIR Mhealth Uhealth. 2025 Jun 24;13:e60871. doi: 10.2196/60871.
2
OncoE25: an AI model for predicting postoperative prognosis in early-onset stage I-III colon and rectal cancer-a population-based study using SEER with dual-center cohort validation.OncoE25：一种用于预测早期I-III期结肠癌和直肠癌术后预后的人工智能模型——一项基于人群的研究，使用监测、流行病学和最终结果（SEER）数据库并进行双中心队列验证
J Transl Med. 2025 Jun 22;23(1):695. doi: 10.1186/s12967-025-06663-4.
3
Construction and Validation of a Machine Learning-Based Risk Prediction Model for Sleep Quality in Patients with OSA.基于机器学习的阻塞性睡眠呼吸暂停患者睡眠质量风险预测模型的构建与验证
Nat Sci Sleep. 2025 Jun 12;17:1271-1289. doi: 10.2147/NSS.S516912. eCollection 2025.
4
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
Front Med (Lausanne). 2025 May 27;12:1502749. doi: 10.3389/fmed.2025.1502749. eCollection 2025.
5
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。
Front Nutr. 2025 May 15;12:1563692. doi: 10.3389/fnut.2025.1563692. eCollection 2025.
Zotero 插件