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