Personalizing Suicidology
Author:
Affiliation:
1. Department of Psychiatry, University of Pittsburgh, PA, USA
2. Department of Psychology, University of Pittsburgh, PA, USA
Publisher
Hogrefe Publishing Group
Subject
Psychiatry and Mental health
Link
https://econtent.hogrefe.com/doi/pdf/10.1027/0227-5910/a000834
Reference31 articles.
1. Prediction Models for Suicide Attempts and Deaths
2. Berman, A. L. (2003). An idiographic approach to understanding suicide in the young. In R. A. King & A. Apter (Eds.), Suicide in children and adolescents (pp. 198–210). Cambridge University Press.
3. Toward fine-grained phenotyping of suicidal behavior: the role of suicidal subtypes
4. The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review
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1. Heterogeneity in suicide risk: Evidence from personalized dynamic models;Behaviour Research and Therapy;2024-09
2. Person-specific dynamics between negative emotions and suicidal thoughts;Comprehensive Psychiatry;2024-08
3. Development of the Mobile Application to Prevent Suicide (MAPS), a Personalized Smartphone App for Suicide Prevention: Feedback from Individual Interviews;Journal of Technology in Human Services;2024-04-02
4. The Suicide Dot Probe Task: Psychometric properties and validity in relation to suicide‐related outcomes;Suicide and Life-Threatening Behavior;2023-09-13
5. Mapping the timescale of suicidal thinking;Proceedings of the National Academy of Sciences;2023-04-18
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