머신러닝으로 PTSD 예측하기

Machine Learning Turns 70 Clinical Data Points into Single PTSD Risk Score

Numerous biological and psychological biomarkers—including elevated stress hormones, increased inflammatory signals, high blood pressure, and hyperarousal (an abnormally heightened state of anxiety) - often precede PTSD in trauma survivors. However, none of these measures, alone or in combination, has proved reliable at predicting PTSD.

The current algorithm was built using patients who had blood drawn. This possibly limits generalizability as the algorithm would only apply to patients who undergo blood testing, such as those with more severe injuries.

In future studies, the team plans to test whether the algorithm can predict PTSD in patients who experience other potentially traumatic health events, including heart attacks and strokes.

 

reference

 Katharina Schultebraucks et al, A validated predictive algorithm of post-traumatic stress course following emergency department admission after a traumatic stressor, Nature Medicine (2020). DOI: 10.1038/s41591-020-0951-z