This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (766) Artificial Intelligence (2204) Machine Learning (2137) Advanced Data Analytics in eHealth (216) Computer-Aided Diagnosis (263) Digital Biomarkers and Digital Phenotyping (297) Mobile Health in Psychiatry (538)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75960, first published .
Predicting Ultra-High Risk Outcomes Using Linguistic and Acoustic Measures From High-Risk Social Challenge Recordings: mHealth Longitudinal Cohort Exploratory Study

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

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

Authors of this article:

Samuel Ming Xuan Tan1 Author Orcid Image ;   May Yen Lieu1 Author Orcid Image ;   Jun Kai2 Author Orcid Image ;   Zixu Yang3 Author Orcid Image ;   Luke KK2 Author Orcid Image ;   May O Lwin4 Author Orcid Image ;   Jimmy Lee3 Author Orcid Image ;   Wilson Wen Bin Goh1 Author Orcid Image
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