Predicting Ultra-High Risk Outcomes Using Linguistic and Acoustic Measures From High-Risk Social Challenge Recordings: mHealth Longitudinal Cohort Exploratory Study
Linguistic features extracted from a short speech task exhibit a measurable difference between the outcome groups. Our findings support the feasibility of using signals extracted from the HiSoC task recordings to predict remission in participants with UHR.
Institutions
- Nanyang Technological University (SG)
- Institute of Mental Health (SG)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-11-12
- DOI
- https://doi.org/10.2196/75960
- Primary Topic
- Voice and Speech Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation
- National Research Foundation Singapore
- Medical Research Council
- National Medical Research Council