Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review

Ciharova, Marketa; Amarti, Khadicha; van Breda, Ward; Peng, Xianhua; Lorente-Català, Rosa; Funk, Burkhardt; Hoogendoorn, Mark; Koutsouleris, Nikolaos; Fusar-Poli, Paolo; Karyotaki, Eirini; Cuijpers, Pim; Riper, Heleen

doi:10.1016/j.biopsych.2024.06.002

Biological Psychiatry

2024

DOI: 10.1016/j.biopsych.2024.06.002

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Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review

Marketa Ciharova,

Khadicha Amarti,

Ward van Breda

et al.

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A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors

Büscher,

Winkler,

Mocellin

et al. 2024

npj Mental Health Res

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Passive sensing data from smartphones and wearables may help improve the prediction of suicidal thoughts and behaviors (STB). In this systematic review, we explored the feasibility and predictive validity of passive sensing for STB. On June 24, 2024, we systematically searched Medline, Embase, Web of Science, PubMed, and PsycINFO. Studies were eligible if they investigated the association between STB and passive sensing, or the feasibility of passive sensing in this context. From 2107 unique records, we identified eleven prediction studies, ten feasibility studies, and seven protocols. Studies indicated generally lower model performance for passive compared to active data, with three out of four studies finding no incremental value. PROBAST ratings revealed major shortcomings in methodology and reporting. Studies suggested that passive sensing is feasible in high-risk populations. In conclusion, there is limited evidence on the predictive value of passive sensing for STB. We highlight important quality characteristics for future research.

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A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors

Büscher,

Winkler,

Mocellin

et al. 2024

npj Mental Health Res

View full text Add to dashboard Cite

show abstract

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Use of Machine Learning Algorithms Based on Text, Audio, and Video Data in the Prediction of Anxiety and Posttraumatic Stress in General and Clinical Populations: A Systematic Review

Cited by 1 publication

References 59 publications

A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors

A systematic review on passive sensing for the prediction of suicidal thoughts and behaviors

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