Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment

Abstract Informatics paradigms for brain and mental health research have seen significant advances in recent years. These developments can largely be attributed to the emergence of new technologies such as machine learning, deep learning, and artificial intelligence. Data-driven methods have the pot...

Full description

Bibliographic Details
Main Authors: Matthew Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, U Rajendra Acharya, Yuefeng Li
Format: Article
Language:English
Published: SpringerOpen 2023-04-01
Series:Brain Informatics
Subjects:
Psychiatry
Artificial intelligence
Depression
Deep learning
Neural networks
Treatment response prediction
Online Access:https://doi.org/10.1186/s40708-023-00188-6

Internet

https://doi.org/10.1186/s40708-023-00188-6

Similar Items