2020
DOI: 10.21203/rs.3.rs-70720/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Detection of Depression and Its High-Risk Group using Scanpath Comparison Based on Semantic Information

Abstract: Background: Depression is a burdensome, recurring mental health disorder with high prevalence. The traditional detection of depression relies on structured interviews and questionnaires, which is labor-intensive and time-consuming. Also, the detection results are affected by subjective factors such as the subject's honesty and the psychologists' experiences. It lacks objective and quantitative metrics.Methods: To solve the above problems, we develop a convenient and objective system to detect depression and it… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 20 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?