Examining linguistic cues for predicting mental health status

Individuals with schizophrenia contribute substantially to the global burden of disease, despite having a low prevalence rate. It is a chronic mental health disorder that leads to a decrease in quality of life if prompt treatment is not given. Differences in language features of ultra-high risk (UHR...

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Bibliographic Details
Main Author: Long, Xiang Ni
Other Authors: Goh Wen Bin Wilson
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/152332
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Institution: Nanyang Technological University
Language: English

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