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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| Format: | Final Year Project |
| Language: | English |
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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 |
| Summary: | 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) individuals (n=360) were compared with healthy controls (n=86). UHR individuals shows a significant increase in production of pauses and a relative increase in type-token ratio, but a decrease in total number of words spoken when compared to healthy controls (all with p value<0.05). Results reveal that linguistic cues may provide another avenue when trying to determine the mental state of individuals at high risk of developing psychosis. |
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