ArticleArtificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- )2024
Minimizing Survey Questions for PTSD Prediction Following Acute Trauma.
Article in Artificial intelligence in medicine. Conference on Artificial Intelligence in Medicine (2005- ), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Optimizing Symptom Surveys with Machine Learning to Predict PTSD One Year Post-trauma....IEEE...International Conference on Connected Health: Applications, Systems and Engineering Technologies. IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies · 2026Article
- Predicting PTSD development with early post-trauma assessments: a proof-of-concept for a concise tree-based classification method.European journal of psychotraumatology · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Traumatic experiences have the potential to give rise to post-traumatic stress disorder (PTSD), a debilitating psychiatric condition associated with impairments in both social and occupational functioning. There has been great interest in utilizing machine learning approaches to predict the development of PTSD in trauma patients from clinician assessment or survey-based psychological assessments. However, these assessments require a large number of questions, which is time consuming and not easy to administer. In this paper, we aim to predict PTSD development of patients 3 months post-trauma from multiple survey-based assessments taken within 2 weeks post-trauma. Our objective is to
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Registered trials
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