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
Article Authors Cited by Tweetations Metrics

Samuel Ming Xuan Tan   1 , PhD ;   May Yen Lieu   1 , BA ;   Jun Kai   2 , BA ;   Zixu Yang   3 , MSc ;   Luke KK   2 , PhD ;   May O Lwin   4 , PhD ;   Jimmy Lee   3 , MD ;   Wilson Wen Bin Goh   1 , PhD

1 LKC School of Medicine, Nanyang Technological University, Singapore, Singapore

2 School of Humanities, Nanyang Technological University, Singapore, Singapore

3 Institute of Mental Health, Singapore, Singapore

4 WKW School of Communications, Nanyang Technological University, Singapore, Singapore

Corresponding Author:

  • Wilson Wen Bin Goh, PhD
  • LKC School of Medicine, Nanyang Technological University
  • 59 Nanyang Drive, Experimental Medicine Building
  • Singapore 636921
  • Singapore
  • Phone: 65 65927871
  • Email: wilsongoh@ntu.edu.sg