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本文引用的文献

1
Towards proactively improving sleep: machine learning and wearable device data forecast sleep efficiency 4-8 hours before sleep onset.迈向主动改善睡眠：机器学习与可穿戴设备数据可在入睡4至8小时前预测睡眠效率。
Sleep. 2025 Aug 14;48(8). doi: 10.1093/sleep/zsaf113.
2
Social support and isolation in narcolepsy and idiopathic hypersomnia: An international survey.发作性睡病和特发性嗜睡症中的社会支持与孤立感：一项国际调查。
Sleep Med. 2025 Jan;125:65-73. doi: 10.1016/j.sleep.2024.11.013. Epub 2024 Nov 12.
3
Predicting neurobehavioral performance of resident physicians in a Randomized Order Safety Trial Evaluating Resident-Physician Schedules (ROSTERS).预测随机顺序安全试验中住院医师的神经行为表现，以评估住院医师排班表（ROSTERS）。
Sleep Health. 2024 Feb;10(1S):S25-S33. doi: 10.1016/j.sleh.2023.10.018. Epub 2023 Nov 25.
4
Public opinion of resident physician work hours in 2022.2022年住院医师工作时长的公众意见。
Sleep Health. 2024 Feb;10(1S):S194-S200. doi: 10.1016/j.sleh.2023.08.016. Epub 2023 Nov 7.
5
Acute evening high-intensity interval training may attenuate the detrimental effects of sleep restriction on long-term declarative memory.急性夜间高强度间歇训练可能会减轻睡眠限制对长期陈述性记忆的不利影响。
Sleep. 2023 Jul 11;46(7). doi: 10.1093/sleep/zsad119.
6
Differences in Sleep Offset Timing between Weekdays and Weekends in 79,161 Adult Participants in the UK Biobank.英国生物银行79161名成年参与者工作日与周末睡眠结束时间的差异。
Clocks Sleep. 2022 Nov 22;4(4):658-674. doi: 10.3390/clockssleep4040050.
7
Performance of a multisensor smart ring to evaluate sleep: in-lab and home-based evaluation of generalized and personalized algorithms.多传感器智能指环评估睡眠性能：广义和个性化算法的实验室和家庭评估。
Sleep. 2023 Jan 11;46(1). doi: 10.1093/sleep/zsac152.
8
Rethinking the sleep-health link.重新思考睡眠与健康的关系。
Sleep Health. 2018 Aug;4(4):339-348. doi: 10.1016/j.sleh.2018.05.004. Epub 2018 Jun 27.
9
Sleep Quality Prediction From Wearable Data Using Deep Learning.使用深度学习从可穿戴数据预测睡眠质量
JMIR Mhealth Uhealth. 2016 Nov 4;4(4):e125. doi: 10.2196/mhealth.6562.

Mapping the road to better sleep: forecasting sleep quality using actigraphy-based machine learning hours before bedtime.

作者信息

Parekh Ankit

机构信息

Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Department of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

出版信息

Sleep. 2025 Aug 14;48(8). doi: 10.1093/sleep/zsaf148.

DOI:10.1093/sleep/zsaf148
PMID:40448316
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12351266/
Abstract
摘要