Review and content analysis of textual expressions as a marker for depressive and anxiety disorders (DAD) detection using machine learning

Review and content analysis of textual expressions as a marker for depressive and anxiety disorders (DAD) detection using machine learning

Abstract Depressive disorders (including major depressive disorder and dysthymia) and anxiety (generalized anxiety disorder or GAD) disorders are the two most prevalent mental illnesses. Early diagnosis of these afflictions can lead to cost-effective treatment with a better outcome prospectus. With...

Full description

Bibliographic Details
Main Authors: Chandra Mani Sharma, Darsh Damani, Vijayaraghavan M. Chariar
Format: Article
Language:English
Published: Springer 2023-11-01
Series:Discover Artificial Intelligence
Subjects:
Depression and anxiety detection
Machine learning
Text analytics
Natural language processing
Mental disorders
Online Access:https://doi.org/10.1007/s44163-023-00090-4

Internet

https://doi.org/10.1007/s44163-023-00090-4

Similar Items