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相关概念视频

Reliability and Validity01:29

Reliability and Validity

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Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
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Applications of Stress01:04

Applications of Stress

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Consider a structure made of a boom and a rod designed to support a load. These two components are connected by a pin and stabilized by brackets and pins. The boom and the rod are detached from their supports to assess the different stresses imposed on this structure, and a free-body diagram is drawn. Then, all the forces applied, including the load acting on the structure, are identified. The reaction forces exerted on both the boom and the rod are computed using the equilibrium equations.
The...
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Survival Tree01:19

Survival Tree

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Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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Psychological Responses to Stress01:20

Psychological Responses to Stress

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Psychological responses to stress encompass the various cognitive and emotional reactions individuals experience when faced with challenging or threatening situations, such as a job loss. Prolonged exposure to stressors can disturb emotional balance, increasing negative emotions (e.g., anxiety and sadness) and diminishing positive emotions (e.g., joy and satisfaction). These persistent emotional shifts are associated with an increased risk of both physical illness and mental health issues, such...
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Stress Prevention and Stress Management Techniques V01:28

Stress Prevention and Stress Management Techniques V

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A social support system is a structured network of personal relationships that provides assistance to individuals facing various challenges, offering a buffer against psychological and physical stressors. This network may consist of family members, friends, neighbors, colleagues, or other community members who provide resources and companionship. Social support can take many forms, including advice, emotional comfort, practical help, and companionship. Research indicates that these networks can...
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相关实验视频

Updated: May 6, 2026

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
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Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

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学生的压力预测和基于改进的决策树的可解释分析.

Cheng Liu1, Shuang Yu1

  • 1Department of Digital Business, Jiangsu Vocational Institute of Commerce, Nanjing, Jiangsu, China.

Frontiers in psychology
|January 19, 2026
PubMed
概括
此摘要是机器生成的。

这项研究开发了一个优化的决策树模型来预测学生的压力,达到92.7%的准确性. 影响压力的关键因素是血压,社会支持和抑郁症.

关键词:
在 SHAP 模型中,决策树算法 决策树算法哈里斯·霍克斯优化优化机器学习是机器学习.学生的压力预测预测

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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相关实验视频

Last Updated: May 6, 2026

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科学领域:

  • 教育心理学教育心理学
  • 计算社会科学 计算社会科学
  • 心理健康信息学心理健康信息学

背景情况:

  • 学生群体面临着重大的学术,社会和职业相关压力.
  • 准确的压力水平预测和影响因素的识别对于学生的福祉至关重要.

研究的目的:

  • 开发和验证一个增强的机器学习模型来预测学生的压力.
  • 确定导致学生压力的关键因素.

主要方法:

  • 对比了九个机器学习算法,以选择一个最佳的基本模型.
  • 使用哈里斯·霍克斯优化 (HHO) 算法改进了一个决策树 (DT) 模型.
  • 应用沙普利增量解释 (SHAP) 用于模型解释和特征分析.

主要成果:

  • 决策树 (DT) 算法实现了0.909.9的预测准确度.
  • 优化后的哈里斯·霍克斯优化-DT (HHO-DT) 模型将准确度提高到0.927,错误分类较少.
  • 沙普利添加解释 (SHAP) 确定了血压,社会支持和抑郁症是学生压力的主要预测因素.

结论:

  • HHO-DT模型提供了一个科学有效的工具来预测学生的压力.
  • 研究结果支持教育工作者,家长和学生的有针对性的干预措施,以促进心理健康.
  • 准确的压力预测可以帮助制定减轻学生压力和提高整体幸福感的策略.