Publications

Recent mHail Publications (with article links)

2024

1. Horwitz, A., McCarthy, K., House, S. L., Beaudoin, F. L., An, X., Neylan, T. C., ... & Sen, S. (2024). Intensive Longitudinal Assessment Following Index Trauma to Predict Development of PTSD using Machine Learning. Journal of Anxiety Disorders, 102876. 

2. Micol, V. J., Arango, A., King, C. A., & Czyz, E. K. (2024). Stress in Caregivers of Youth Hospitalized for Suicide Ideation or Attempt. Behavior Therapy. 

2023

3. Czyz, E. K., King, C. A., Al-Dajani, N., Zimmermann, L., Hong, V., & Nahum-Shani, I. (2023). Ecological Momentary Assessments and Passive Sensing in the Prediction of Short-Term Suicidal Ideation in Young Adults. JAMA Network Open, 6(8), Article e2328005. 

4. Horwitz, A. G., Kentopp, S. D., Cleary, J., Ross, K., Wu, Z., Sen, S., & Czyz, E. K. (2023). Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time. Psychological Medicine, 53(12), 5778-5785. 

5. Jiang, A., Al-Dajani, N., King, C., Hong, V., Koo, H. J., & Czyz, E. (2023). Acceptability and feasibility of ecological momentary assessment with augmentation of passive sensor data in young adults at high risk for suicide. Psychiatry Research, 326, Article 115347. 

6. Horwitz, A. G., Zhao, Z., & Sen, S. (2023). Peak-end bias in retrospective recall of depressive symptoms on the PHQ-9. Psychological Assessment. 35(4), 378–381.

7. Czyz, E. K., Koo, H. J., Al-Dajani, N., King, C. A., & Nahum-Shani, I. (2023). Predicting short-term suicidal thoughts in adolescents using machine learning: Developing decision tools to identify daily level risk after hospitalization. Psychological Medicine, 53(7), 2982-2991. 

8. May, A. M., Al‐Dajani, N., Ballard, E. D., & Czyz, E. (2023). Safety plan use in the daily lives of adolescents after psychiatric hospitalization. Suicide and Life‐Threatening Behavior, 53(5), 870-879. 

2022

9. Al‐Dajani, N., Horwitz, A. G., & Czyz, E. K. (2022). Does coping reduce suicidal urges in everyday life? Evidence from a daily diary study of adolescent inpatients. Depression and Anxiety, 39(6), 496-503. 

10. Czyz, E. K., Koo, H. J., Al-Dajani, N., Kentopp, S. D., Jiang, A., & King, C. A. (2022). Temporal profiles of suicidal thoughts in daily life: results from two mobile-based monitoring studies with high-risk adolescents. Journal of Psychiatric Research, 153, 56-63.

11. Horwitz, A., Czyz, E., Al-Dajani, N., Dempsey, W., Zhao, Z., Nahum-Shani, I., & Sen, S. (2022). Utilizing daily mood diaries and wearable sensor data to predict depression and suicidal ideation among medical interns. Journal of Affective Disorders, 313, 1-7. 

12. Micol, V. J., Prouty, D., & Czyz, E. K. (2022). Enhancing motivation and self-efficacy for safety plan use: Incorporating motivational interviewing strategies in a brief safety planning intervention for adolescents at risk for suicide. Psychotherapy, 59(2), 174.