Assessing Schizophrenia Patients Through Linguistic and Acoustic Features Using Deep Learning Techniques

Assessing Schizophrenia Patients Through Linguistic and Acoustic Features Using Deep Learning Techniques

Thought, language, and communication disorders are among the salient characteristics of schizophrenia. Such impairments are often exhibited in patients’ conversations. Researches have shown that assessments of thought disorder are crucial for tracking the clinical patients’ con...

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Bibliographic Details
Main Authors: Yan-Jia Huang, Yi-Ting Lin, Chen-Chung Liu, Lue-En Lee, Shu-Hui Hung, Jun-Kai Lo, Li-Chen Fu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Schizophrenia
thought disorder
positive symptoms
negative symptoms
natural language processing
human speech processing
Online Access:https://ieeexplore.ieee.org/document/9745530/

Internet

https://ieeexplore.ieee.org/document/9745530/

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