Utilization of machine learning to test the impact of cognitive processing and emotion recognition on the development of PTSD following trauma exposure

Utilization of machine learning to test the impact of cognitive processing and emotion recognition on the development of PTSD following trauma exposure

Abstract Background Though lifetime exposure to traumatic events is significant, only a minority of individuals develops symptoms of posttraumatic stress disorder (PTSD). Post-trauma alterations in neurocognitive and affective functioning are likely to reflect changes in underlying brain networks th...

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Bibliographic Details
Main Authors: Mareike Augsburger, Isaac R. Galatzer-Levy
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Psychiatry
Subjects:
PTSD
Machine learning
Neuro-cognitive functioning
Emotion recognition
Symptom development
Online Access:http://link.springer.com/article/10.1186/s12888-020-02728-4

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http://link.springer.com/article/10.1186/s12888-020-02728-4

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