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In IEEE journal of biomedical and health informatics

** : Post-Traumatic Stress Disorder (PTSD) is a psychiatric condition resulting from threatening or horrifying events. We hypothesized that circadian rhythm changes, measured by a wrist-worn research watch are predictive of post-trauma outcomes.

APPROACH : 1618 post-trauma patients were enrolled after admission to emergency departments (ED). Three standardized questionnaires were administered at week eight to measure post-trauma outcomes related to PTSD, sleep disturbance, and pain interference with daily life. Pulse activity and movement data were captured from a research watch for eight weeks. Standard and novel movement and cardiovascular metrics that reflect circadian rhythms were derived using this data. These features were used to train different classifiers to predict the three outcomes derived from week-eight surveys. Clinical surveys administered at ED were also used as features in the baseline models.

RESULTS : The highest cross-validated performance of research watch-based features was achieved for classifying participants with pain interference by a logistic regression model, with an area under the receiver operating characteristic curve (AUC) of 0.70. The ED survey-based model achieved an AUC of 0.77, and the fusion of research watch and ED survey metrics improved the AUC to 0.79.

SIGNIFICANCE : This work represents the first attempt to predict and classify post-trauma symptoms from passive wearable data using machine learning approaches that leverage the circadian desynchrony in a potential PTSD population.

Cakmak Ayse Selin, Perez Alday Erick Andres, Da Poian Giulia, Bahrami Rad Ali, Metzler Thomas J, Neylan Thomas C, House Stacey L, Beaudoin Francesca L, An Xinming, Stevens Jennifer, Zeng Donglin, Linnstaedt Sarah D, Jovanovic Tanja, Germine Laura T, Bollen Kenneth A, Rauch Scott L, Lewandowski Christopher, Hendry Phyllis L, Sheikh Sophia, Storrow Allan B, Musey Paul I, Haran John P, Jones Christopher W, Punches Brittany E, Swor Robert A, Gentile Nina T, Mcgrath Meghan E, Seamon Mark J, Mohiuddin Kamran, Chang Anna M, Pearson Claire, Domeier Robert M, Bruce Steven E, O’Neil Brian J, Rathlev Niels K, Sanchez Leon D, Pietrzak Robert H, Joormann Jutta, Barch Deanna M, Pizzagalli Diego, Harte Steven E, Elliott James M, Koenen Karestan C, Ressler Kerry J, Kessler Ronald, Li Qiao, Mclean Samuel A, Clifford Gari D