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.

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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

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article

Predicting Ultra-High Risk Outcomes Using Linguistic and Acoustic Measures From High-Risk Social Challenge Recordings: mHealth Longitudinal Cohort Exploratory Study

JMIR Formative Research
Voice and Speech Disorders
article

Predicting Ultra-High Risk Outcomes Using Linguistic and Acoustic Measures From High-Risk Social Challenge Recordings: mHealth Longitudinal Cohort Exploratory Study

article en

Abstract

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.

JMIR Formative ResearchVol. 9
Nanyang Technological University (SG), Institute of Mental Health (SG)
National Research Foundation, National Research Foundation Singapore, Medical Research Council, National Medical Research Council
Openalex Percentile: Top 39%
Voice and Speech Disorders
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