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 Article Swipe
Markéta Čihařová
,
Khadicha Amarti
,
Ward van Breda
,
Xianhua Peng
,
Rosa Lorente-Català
,
Burkhardt Funk
,
Mark Hoogendoorn
,
Nikolaos Koutsouleris
,
Paolo Fusar‐Poli
,
Eirini Karyotaki
,
Pim Cuijpers
,
Heleen Riper
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.biopsych.2024.06.002
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1016/j.biopsych.2024.06.002
Research in machine learning (ML) algorithms using natural behavior (i.e., text, audio, and video data) suggests that these techniques could contribute to personalization in psychology and psychiatry. However, a systematic review of the current state of the art is missing. Moreover, individual studies often target ML experts who may overlook potential clinical implications of their findings. In a narrative accessible to mental health professionals, we present a systematic review conducted in 5 psychology and 2 computer science databases. We included 128 studies that assessed the predictive power of ML algorithms using text, audio, and/or video data in the prediction of anxiety and posttraumatic stress disorder. Most studies (n = 87) were aimed at predicting anxiety, while the remainder (n = 41) focused on posttraumatic stress disorder. They were mostly published since 2019 in computer science journals and tested algorithms using text (n = 72) as opposed to audio or video. Studies focused mainly on general populations (n = 92) and less on laboratory experiments (n = 23) or clinical populations (n = 13). Methodological quality varied, as did reported metrics of the predictive power, hampering comparison across studies. Two-thirds of studies, which focused on both disorders, reported acceptable to very good predictive power (including high-quality studies only). The results of 33 studies were uninterpretable, mainly due to missing information. Research into ML algorithms using natural behavior is in its infancy but shows potential to contribute to diagnostics of mental disorders, such as anxiety and posttraumatic stress disorder, in the future if standardization of methods, reporting of results, and research in clinical populations are improved.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.biopsych.2024.06.002
- OA Status
- hybrid
- Cited By
- 13
- References
- 71
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4399564572
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4399564572Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.biopsych.2024.06.002Digital Object Identifier
- Title
-
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 ReviewWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-12Full publication date if available
- Authors
-
Markéta Čihařová, Khadicha Amarti, Ward van Breda, Xianhua Peng, Rosa Lorente-Català, Burkhardt Funk, Mark Hoogendoorn, Nikolaos Koutsouleris, Paolo Fusar‐Poli, Eirini Karyotaki, Pim Cuijpers, Heleen RiperList of authors in order
- Landing page
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https://doi.org/10.1016/j.biopsych.2024.06.002Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.biopsych.2024.06.002Direct OA link when available
- Concepts
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Predictive power, Anxiety, Standardization, Clinical psychology, Psychology, Algorithm, Machine learning, Computer science, Artificial intelligence, Psychiatry, Operating system, Epistemology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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13Total citation count in OpenAlex
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2025: 9, 2024: 4Per-year citation counts (last 5 years)
- References (count)
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71Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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