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Automated coherence measures fail to index thought disorder in individuals at risk for psychosis
While we find group differences between at-risk and healthy control populations, we also find that the measures mostly do not correlate with existing measures of thought disorder symptoms (what they are intended to measure), but rather correlate with surface properties of the speech (e. g., sentence length) and sociodemographic properties of the speaker (e. g., race).
Real-time noise cancellation with Deep Learning
Biological measurements are often contaminated with large amounts of non-stationary noise which require effective noise reduction techniques.
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