Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Multiple Regression01:25

Multiple Regression

4.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.0K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Improving Cancer Driver Gene Prediction using Biological knowledge-guided Prompts for LLM.

IEEE transactions on computational biology and bioinformatics·2026
Same author

SpaHNR: a spatial domain identification method via sparse attention-based hierarchical node representation and multi-view contrastive learning.

BMC bioinformatics·2026
Same author

CAFE: Cross-View Adaptive Fusion and Cluster Center Enhancement for Robust Multi-View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Eu<sup>3+</sup>-mediated ratiometric fluorescence visualization sensing for traceability and content prediction of plant-derived products: an example of Chrysanthemi Flos.

Talanta·2026
Same author

A novel fluorescent sensor based on CdTe quantum dots and DTAB-modified Au nanoparticles through aggregation-induced fluorescence recovery for the detection of l-lysine.

Journal of the science of food and agriculture·2026
Same author

The relationship between physical activity and depressive symptoms in college students: the sequential mediation effects of emotion regulation self-efficacy and sense of life meaning.

Frontiers in psychology·2026
Same journal

From silenced shock to strategic resilience: a longitudinal qualitative study of nurse residents' trajectory in coping with patient verbal abuse.

Frontiers in psychology·2026
Same journal

Validation of the Internet Addiction Test (IAT) for forest firefighters: implications for human-technology interaction and occupational safety in the future of work.

Frontiers in psychology·2026
Same journal

Development and validation of the football emotion scale for Chinese youth players: a psychometric study.

Frontiers in psychology·2026
Same journal

From online engagement to offline action: how social media environmental engagement shapes university students' pro-environmental citizenship through intrinsic motivation and personal norms.

Frontiers in psychology·2026
Same journal

The multidimensional inventory of religious/spiritual wellbeing in Hungarian language: psychometric properties and initial validation.

Frontiers in psychology·2026
Same journal

Effects of occupational factors on depression in Chinese veterans: a fsQCA study based on 2022 CFPS data.

Frontiers in psychology·2026
查看所有相关文章

相关实验视频

Updated: Feb 17, 2026

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

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

Published on: June 16, 2018

7.9K

预测大学生的运动依赖:一种机器学习方法.

Yihang Deng1, Wei Lan2, Mingda Si3

  • 1Department of Physical Education, Neijiang Normal University, Neijiang, China.

Frontiers in psychology
|February 16, 2026
PubMed
概括
此摘要是机器生成的。

人工智能有效地预测了大学生的运动依赖风险. 关键预测因素包括长时间炼,过度暇时间,以及难以减少炼频率.

关键词:
大学生学生的大学生组合学习 (EN) 组合学习 (EN)运动依赖行为行为.机器学习是机器学习.风险预测风险预测

更多相关视频

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.5K

相关实验视频

Last Updated: Feb 17, 2026

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
12:51

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

Published on: June 16, 2018

7.9K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.5K

科学领域:

  • 运动心理学 体育心理学
  • 行为科学 行为科学
  • 人工智能在健康中的作用

背景情况:

  • 运动依赖在大学生中是一个重大问题.
  • 了解其心理机制和预测风险对于干预至关重要.

研究的目的:

  • 利用人工智能探索大学生在运动依赖机制.
  • 开发和验证一个强大的AI模型来预测运动依赖风险.

主要方法:

  • 通过有关运动依赖,心理特征和人口统计的问卷收集了2,745名大学生的数据.
  • 使用后勤回归,随机森林,XGBoost和多层感知算法.
  • 综合模型使用集体学习 (堆叠) 来提高预测准确度.

主要成果:

  • 堆叠组合模型在风险预测方面实现了0.96的高曲线下面积 (AUC).
  • 确定了关键预测因素:运动延长,过度的休时间分配,难以减少频率,超过计划的运动持续时间.
  • 证明了AI在识别运动依赖的心理和行为驱动因素方面的有效性.

结论:

  • 人工智能方法,特别是集体学习,提供准确和强大的预测运动依赖的风险在大学生.
  • 研究结果突出了导致运动依赖的关键心理和行为因素.
  • 人工智能为体育心理学和学生心理健康环境中的风险监测提供了有价值的工具.