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

Survival Tree01:19

Survival Tree

160
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...
160
Signal Flow Graphs01:18

Signal Flow Graphs

318
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
318
pV-Diagrams01:18

pV-Diagrams

4.4K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.4K

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

Outcomes and Predictors of Response to Pregabalin for the Treatment of Post-Traumatic Trigeminal Neuropathic Pain Following Neuroablative Procedures: A Retrospective Observational Study.

Pain physician·2023
Same author

Hydrazine-Assisted Acidic Water Splitting Driven by Iridium Single Atoms.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2023
Same author

A photoelectrochemical aptasensor for tetracycline based on the self-assembly of 2D MoS<sub>2</sub> on a 3D ZnO/Au/ITO electrode.

The Analyst·2023
Same author

Low-Background Signal-On Homogeneous Electrochemiluminescence Biosensor for Hepatitis B Virus Detection Based on the Regulation of the Length of DNA Modified on the Nanoparticles by CRISPR/Cas12a and Hybridization Chain Reaction.

Analytical chemistry·2023
Same author

Neonatal outcomes and related risk factors of 30 cases with aplastic anemia in pregnancy: A retrospective study.

Early human development·2023
Same author

Association between post-stroke cognitive impairment and gut microbiota: A PRISMA-compliant systematic review and meta-analysis.

Medicine·2023
Same journal

Case Report: Subacute combined degeneration misdiagnosed as a primary affective disorder: diagnostic pitfalls and clinical red flags.

Frontiers in psychiatry·2026
Same journal

Virtual reality based attentional bias modification training for patients with obsessive-compulsive disorder: a feasibility study.

Frontiers in psychiatry·2026
Same journal

Job demands and resources in relation to burnout and educational coexistence among Chilean education workers.

Frontiers in psychiatry·2026
Same journal

Correction: Sleep characteristics and cognitive impairment in bipolar disorder: age-specific associations.

Frontiers in psychiatry·2026
Same journal

Systematic review of animal studies on the use of herbal medicine for attention-deficit/hyperactivity disorder.

Frontiers in psychiatry·2026
Same journal

Alcohol and cannabis use severity in relation to compulsive sexual behavior and problematic pornography use in a non-clinical sample: a cross-sectional study.

Frontiers in psychiatry·2026
查看所有相关文章

相关实验视频

Updated: Sep 13, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

基于图形学习的自杀想法通过树画测试检测.

Ye Liu1, Jiashuo Zheng1, Yang Zeng2

  • 1School of Future Technology, South China University of Technology, Guangzhou, China.

Frontiers in psychiatry
|August 4, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了树画测试 (TDT) 和图形学习,以准确,可扩展的青少年自杀念头检测. 这种新型的人工智能方法显著优于现有方法,为早期干预提供了一个有前途的工具.

关键词:
图表 卷积网络 卷积网络图表学习学习图表学习投射式测试试验 投射式测试试验检测自杀想法 发现自杀想法树绘图测试试验 树绘图测试

更多相关视频

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

2.1K
Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
08:25

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

518

相关实验视频

Last Updated: Sep 13, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K
Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
07:53

Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy

Published on: August 5, 2022

2.1K
Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
08:25

Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

Published on: December 6, 2024

518

科学领域:

  • 心理学 心理学 心理学
  • 计算机科学 计算机科学
  • 公共卫生 公共卫生

背景情况:

  • 青少年自杀是一个关键的全球公共卫生问题.
  • 传统的自杀想法检测方法缺乏准确性和可扩展性.
  • 人工智能为准确,可扩展的检测提供了潜力,但通常具有严格的数据要求.

研究的目的:

  • 引入树画测试 (TDT) 作为检测自杀念头的有效工具.
  • 为自动 TDT 应用提出一种新的图形学习方法.
  • 为了平衡自杀念头检测的准确性和可扩展性.

主要方法:

  • 从从树画图像中自动注释的心理特征构建一个语义图.
  • 使用图形卷积网络 (GCN) 模型来检测个人自杀念头.
  • 在806名学生的数据集上评估该方法,使用宏F1和G-mean等指标.

主要成果:

  • 拟议的图形学习方法明显优于传统的机器学习和卷积神经网络方法.
  • 一项废除研究证实了特定特征 (如"叶子和果实") 在检测中的有效性.
  • 该方法表现出稳定性和稳健性,即使使用不完整的图像数据.

结论:

  • 这种新的方法有效地选了大规模的自杀想法.
  • 该方法实现了高检测性能,模型稳定性和适应性.
  • 这种人工智能驱动的TDT提供了一种灵活和可扩展的解决方案,用于早期检测青少年的自杀念头.