An Ontology-based Modeling for Classifying Risk of Suicidal Behavior
Author:
Affiliation:
1. School of Computer Sciences, Universiti Sains Malaysia, Malaysia
2. Department of Psychiatry, Faculty of Medicine, National University of Malaysia, Malaysia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3587828.3587840
Reference20 articles.
1. World Health Organization , Preventing suicide: a global imperative . Geneva : World Health Organization , 2014 . Accessed : Sep. 01, 2022. [Online]. Available: https://apps.who.int/iris/handle/10665/131056 World Health Organization, Preventing suicide: a global imperative. Geneva: World Health Organization, 2014. Accessed: Sep. 01, 2022. [Online]. Available: https://apps.who.int/iris/handle/10665/131056
2. Suicide and suicide risk
3. Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.
4. Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior
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