Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions

Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions

Objective: Early identification of individuals who are at risk for suicide is crucial in supporting suicide prevention. Machine learning is emerging as a promising approach to support this objective. Machine learning is broadly defined as a set of mathematical models and computational algorithms des...

Full description

Bibliographic Details
Main Authors: Edwin D. Boudreaux, Elke Rundensteiner, Feifan Liu, Bo Wang, Celine Larkin, Emmanuel Agu, Samiran Ghosh, Joshua Semeter, Gregory Simon, Rachel E. Davis-Martin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Psychiatry
Subjects:
suicide prevention
mental health
predictive analytics
machine learning
neural network analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2021.707916/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2021.707916/full

Similar Items