相关实验视频
Updated: Jul 4, 2025

07:57
A New Method for Inducing a Depression-Like Behavior in Rats
Published on: February 22, 2018
20.9K
在社交媒体上检测抑郁症:分类框架和研究挑战和机会
Abdulrahman Aldkheel1, Lina Zhou2
1Department of Software and Information Systems, The University of North Carolina at Charlotte, Charlotte, NC USA.
Journal of healthcare informatics research
|January 26, 2024
概括
研究人员通过使用2011-2023年社交媒体数据审查了50项关于检测抑郁症的研究. 虽然社交媒体有助于识别抑郁症状,但需要进一步研究以验证和道德考虑.
科学领域:
- 计算社会科学 计算社会科学
- 数字心理健康数字心理健康
- 机器学习用于医疗保健
背景情况:
- 社交媒体平台越来越多地用于讨论诸如心理健康等敏感话题.
- 抑郁症是全球领先的精神障碍,通过社交媒体对其检测进行了大量研究.
- 现有的研究已经有了在社交媒体上识别抑郁症的先进方法.
研究的目的:
- 审查在社交媒体上检测抑郁症的最新研究方法.
- 提出一个多维框架来分析关于这个主题的文献.
- 识别基于社交媒体的抑郁症检测方面的差距和未来研究方向.
主要方法:
- 2011年至2023年间发表的50篇论文的系统文献综述.
- 这些论文来自谷歌学者,ACM,PubMed,IEEE Xplore和ResearchGate.
- 分析的重点是输入特征,平台,疾病特征,基本真相和技术.
主要成果:
- 各种输入特征 (文本,视觉,行为,时间,人口,空间) 用于抑郁症检测.
- 视觉和空间特征需要对心理健康应用进行更系统的审查.
- 大多数研究都集中在一般抑郁症上,忽略了其细粒度障碍.
结论:
- 社交媒体数据显示了识别抑郁症状的潜力,但验证和概括性仍然是挑战.
- 进一步的研究对于解决隐私,伦理问题和原因识别至关重要.
- 建议心理健康专业人员和计算机科学家之间进行跨学科的合作,以提高检测效率.
更多相关视频
相关概念视频
Depressive Disorders: Etiology
102
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
102
Depression: Overview
244
Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
244
Depressive Disorders: MDD and Dysthymia
136
Depressive disorders are a group of mental health conditions characterized by pervasive feelings of sadness, diminished pleasure in life, and a significant impact on daily functioning. These conditions are most prevalent in individuals during their 30s and affect women at twice the rate of men. Contrary to popular belief, younger individuals are generally more susceptible to these disorders than older adults. Two key types of depressive disorders include Major Depressive Disorder (MDD) and...
136
Social Facilitation
32.0K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
32.0K
Social Anxiety Disorder
34
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.
34
Classification of Systems-I
186
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
186

