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

Anxiety: Overview01:18

Anxiety: Overview

384
Anxiety is a common mental disorder featuring excessive worry, fear, and apprehension, significantly affecting daily life. People with anxiety disorders experience persistent and intense anxiety, interrupting their everyday functioning.
Individuals with anxiety often experience a range of physical and emotional symptoms, including sweating, trembling, tachycardia, and disturbances in sleep patterns. These symptoms vary in intensity and frequency but are generally disruptive and distressing.
384
Social Anxiety Disorder01:28

Social Anxiety Disorder

87
Social anxiety disorder, also known as social phobia, is characterized by an intense fear of social situations where one might face humiliation, rejection, embarrassment, or negative evaluation. This disorder leads individuals to avoid activities like casual conversations, public speaking, or seemingly simple tasks such as eating, signing documents, or swimming, in public settings. Its impact extends beyond discomfort, often significantly interfering with daily functioning and quality of life.
87
Generalized Anxiety Disorder01:30

Generalized Anxiety Disorder

215
Generalized Anxiety Disorder (GAD) is a chronic condition characterized by excessive and uncontrollable worry that persists for at least six months, significantly interfering with daily functioning. Unlike situational anxiety, which arises in response to specific stressors, GAD often occurs without a clear cause. Individuals may experience disproportionate worry about work, health, or relationships. For instance, a person might continuously fear poor health despite normal medical evaluations or...
215

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

Effect of maternal oxygen supplementation for parturients undergoing elective cesarean delivery by high‑flow nasal oxygen compared with room air on fetal acid-base status: a randomized clinical trial.

International journal of obstetric anesthesia·2026
Same author

Serum 25-hydroxyvitamin D is associated with islet function in postmenopausal women with type 2 diabetes and osteoporosis.

Frontiers in endocrinology·2026
Same author

Clinical Characteristics of 389 Pediatric Patients With Neurofibromatosis Type 1 in South China.

Pediatric neurology·2026
Same author

H<sub>2</sub>O<sub>2</sub>-responsive M2 macrophage membrane-camouflaged biomimetic nanosystems to dual-targeted delivery tanshinone IIA for enhanced anti-atherosclerosis.

Journal of nanobiotechnology·2026
Same author

Association between shyness and depression among Chinese adolescents: the roles of social network site use and engagement in online games.

Frontiers in psychology·2026
Same author

Multi-modal Cardio-respiratory Monitoring of Preterm Infants in NICU Using RGB Camera and mmWave Radar.

IEEE transactions on bio-medical engineering·2026
Same journal

Real-time EEG-based epileptic seizure prediction using artificial intelligence: A systematic review.

Artificial intelligence in medicine·2026
Same journal

R-peak detection and ECG data compression scheme based on empirical mode decomposition and wavelet transform.

Artificial intelligence in medicine·2026
Same journal

CastNet: A three-channel EEG-based deep learning model for cross-subject depression detection.

Artificial intelligence in medicine·2026
Same journal

State-of-the-art TinyML approaches for colorectal cancer detection: Current advances, challenges, and future directions.

Artificial intelligence in medicine·2026
Same journal

JRadiEvo: A Japanese radiology report generation model enhanced by evolutionary optimization of model merging.

Artificial intelligence in medicine·2026
Same journal

Causally-informed deep learning towards explainable and generalizable outcome prediction in critical care.

Artificial intelligence in medicine·2026
查看所有相关文章

相关实验视频

Updated: Sep 18, 2025

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

527

一个焦虑查框架,集成多式联运数据和图节点相关性.

Haimiao Mo1, Hongjia Wu2, Qian Rong3

  • 1Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China; School of Management, Hefei University of Technology, Hefei, 230009, Anhui, China.

Artificial intelligence in medicine
|June 24, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了使用多式联络数据和图形卷积网络 (GCN) 的先进焦虑查框架. 这种新的方法增强了早期焦虑检测和个性化干预策略.

关键词:
焦虑查 焦虑查 焦虑查图表 卷积网络 卷积网络图形节点相关性建模模型多式联络特征融合多式联络特征融合

更多相关视频

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.3K
The Successive Alleys Test of Anxiety in Mice and Rats
05:05

The Successive Alleys Test of Anxiety in Mice and Rats

Published on: June 17, 2013

21.9K

相关实验视频

Last Updated: Sep 18, 2025

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

527
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.3K
The Successive Alleys Test of Anxiety in Mice and Rats
05:05

The Successive Alleys Test of Anxiety in Mice and Rats

Published on: June 17, 2013

21.9K

科学领域:

  • 精神病学和计算神经科学
  • 机器学习在医疗保健中的应用

背景情况:

  • 焦虑障碍是一个重大的全球健康挑战,具有重大个人和经济影响.
  • 目前的焦虑查工具受到成本,认知偏见和无法建模复杂特征相关性的限制.

研究的目的:

  • 开发一个先进的焦虑查框架,利用多式联运数据和图形卷积网络 (GCN).
  • 通过捕捉复杂的时空关系和特征相关性来克服现有方法的局限性.

主要方法:

  • 整合多模式数据,包括生理,行为,音频和文本信息.
  • 应用图形卷积网络 (GCN) 框架,结合一维卷积神经网络和封闭循环单元.
  • 专注于模拟复杂的时空关系和不同数据特征之间的相关性.

主要成果:

  • 实现了高性能指标:93.48%的精度,94.58%的AUC,90.00%的精度,81.82%的灵敏度,97.14%的特异性和85.71%的F1得分.
  • 即使没有问卷数据,也证明了有效性,突出了实际实用性.
  • GCN框架成功地捕获了多式联运数据中的复杂相关性.

结论:

  • 拟议的基于GCN的多式联络框架为焦虑查提供了一种新且有效的方法.
  • 这种方法为早期焦虑症状识别,个性化治疗和预防提供了强有力的科学基础.
  • 该框架分析复杂数据结构的能力提高了诊断准确性和临床适用性.