Machine learning methods to predict child posttraumatic stress: a proof of concept study

Machine learning methods to predict child posttraumatic stress: a proof of concept study

Abstract Background The care of traumatized children would benefit significantly from accurate predictive models for Posttraumatic Stress Disorder (PTSD), using information available around the time of trauma. Machine Learning (ML) computational methods have yielded strong results in recent applicat...

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Bibliographic Details
Main Authors: Glenn N. Saxe, Sisi Ma, Jiwen Ren, Constantin Aliferis
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Psychiatry
Subjects:
Traumatic stress
PTSD
Machine learning
Informatics
Child & Adolescent psychiatry
Online Access:http://link.springer.com/article/10.1186/s12888-017-1384-1

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http://link.springer.com/article/10.1186/s12888-017-1384-1

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