Multimodal Assessment of Schizophrenia Symptom Severity From Linguistic, Acoustic and Visual Cues

Multimodal Assessment of Schizophrenia Symptom Severity From Linguistic, Acoustic and Visual Cues

Assessing the condition of every schizophrenia patient correctly normally requires lengthy and frequent interviews with professionally trained doctors. To alleviate the time and manual burden on those mental health professionals, this paper proposes a multimodal assessment model that predicts the se...

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Bibliographic Details
Main Authors: Chih-Yuan Chuang, Yi-Ting Lin, Chen-Chung Liu, Lue-En Lee, Hsin-Yang Chang, An-Sheng Liu, Shu-Hui Hung, Li-Chen Fu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Neural Systems and Rehabilitation Engineering
Subjects:
Schizophrenia
parameter-efficient fine-tuning
multimodal fusion
Online Access:https://ieeexplore.ieee.org/document/10226202/

Internet

https://ieeexplore.ieee.org/document/10226202/

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