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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Xehetasun bibliografikoak
Egile Nagusiak: Yan-Jia Huang, Yi-Ting Lin, Chen-Chung Liu, Lue-En Lee, Shu-Hui Hung, Jun-Kai Lo, Li-Chen Fu
Formatua: Artikulua
Hizkuntza:English
Argitaratua: IEEE 2022-01-01
Saila:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Gaiak:
Schizophrenia
thought disorder
positive symptoms
negative symptoms
natural language processing
human speech processing
Sarrera elektronikoa:https://ieeexplore.ieee.org/document/9745530/

Internet

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

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