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相关概念视频

Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

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Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
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Insufficient Sleep and Sleep Deprivation01:13

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Insufficient sleep refers to not getting the recommended amount of sleep for optimal functioning, even if it's just slightly less than needed. Sleep insufficiency may occur due to lifestyle choices, such as staying up late for social events or work, resulting in routinely getting less sleep than required. For example, consistently sleeping 6 hours when the body needs 7-9 hours can lead to cumulative effects on health and well-being.
Sleep deprivation is a more severe form of sleep loss...
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Understanding Sleep01:11

Understanding Sleep

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Sleep, an essential biological state, involves significant reductions in physical activity, sensory awareness, and interaction with the environment. This complex physiological process is primarily regulated by specific brain regions, notably the hypothalamus and pons, which govern the sleep-wake cycle or circadian rhythm.
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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Management of Insomnia01:19

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The sleep cycle, an integral part of human health, consists of several stages with distinct characteristics and functions. It begins with a transition from wakefulness to sleep, known as the light sleep phase, followed by the restorative deep sleep phase, essential for physical recovery and growth. The cycle concludes with the Rapid Eye Movement (REM) phase, characterized by high brain activity and vivid dreaming. Insomnia, a prevalent sleep disorder, involves difficulty falling asleep, staying...
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Insomnia is a prevalent sleep disorder characterized by difficulty falling asleep, frequent awakenings during the night, and waking up too early without being able to return to sleep. People with insomnia often experience these disruptions at least three nights a week for at least one month. Chronic insomnia, which lasts for at least three months, can lead to increased anxiety, which in turn can worsen sleep difficulties, creating a cycle of sleeplessness and stress.
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Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
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在COVID-19期间对睡眠障碍的决定因素的多方法机器学习分析.

Paschalina Lialiou1,2, Eleftherios Vouzis1, Ilias Maglogiannis1

  • 1Department of Digital Systems, University of Piraeus, Greece.

Studies in health technology and informatics
|July 1, 2025
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概括

机器学习模型可以预测睡眠障碍,AdaBoost达到71.27%的准确性. 睡眠质量成为最重要的预测因素,突出了它对了解睡眠健康的重要性.

关键词:
可解释的人工智能 (XAI)可以解释的机器学习.多个机器学习算法.睡眠障碍 睡眠障碍 睡眠障碍

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科学领域:

  • 计算神经科学是一种计算神经科学.
  • 医疗信息学 医疗信息学
  • 机器学习在医疗保健中的应用.

背景情况:

  • 睡眠障碍是一个重大的公共卫生问题.
  • 科学界正在积极探索机器学习 (ML) 以预测睡眠决定因素.
  • 了解影响睡眠的因素对于开发有效干预措施至关重要.

研究的目的:

  • 评估各种机器学习算法对睡眠问题的预测准确度.
  • 通过特征选择技术,识别导致睡眠障碍的关键预测因素.
  • 利用可解释AI (XAI) 来解释ML模型的预测.

主要方法:

  • 利用公开可用的数据集进行睡眠障碍分析.
  • 应用多种特征选择技术来确定有影响力的预测因素.
  • 采用可解释AI (XAI) 方法,特别是SHAP值,来解释预测影响.

主要成果:

  • 该AdaBoost算法以71.27%的准确性展示了卓越的性能.
  • 睡眠质量被确定为睡眠障碍的最主要预测因素 (SHAP值:0.01586).
  • 功能重要性分析揭示了影响睡眠健康预测的关键因素.

结论:

  • 可解释AI (XAI) 方法,如SHAP,显著提高了ML模型对睡眠健康的临床实用性.
  • 这些见解使医疗保健提供者能够设计有针对性的干预措施,以改善患者的睡眠结果.
  • 这项研究强调了ML和XAI在推进睡眠医学和公共卫生战略方面的潜力.