Rezultati - Isaac R. Galatzer‐Levy

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  1. 1
    Beyond normality in the study of bereavement: Heterogeneity in depression outcomes following loss in older adults

    Beyond normality in the study of bereavement: Heterogeneity in depression outcomes following loss in older adults od Isaac R. Galatzer‐Levy, George A. Bonanno

    Izdano 2012
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  2. 2
    Machine Learning and the Digital Measurement of Psychological Health

    Machine Learning and the Digital Measurement of Psychological Health od Isaac R. Galatzer‐Levy, Jukka‐Pekka Onnela

    Izdano 2023
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  3. 3
    Data Science in the Research Domain Criteria Era: Relevance of Machine Learning to the Study of Stress Pathology, Recovery, and Resilience

    Data Science in the Research Domain Criteria Era: Relevance of Machine Learning to the Study of Stress Pathology, Recovery, and Resilience od Isaac R. Galatzer‐Levy, Kelly V. Ruggles, Zhe Chen

    Izdano 2018
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  4. 4
    The Heterogeneity of Posttraumatic Stress Disorder in <i>DSM-5</i>

    The Heterogeneity of Posttraumatic Stress Disorder in <i>DSM-5</i> od Richard A. Bryant, Isaac R. Galatzer‐Levy, Dušan Hadži-Pavlović

    Izdano 2022
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  5. 5
    PATTERNS OF LIFETIME PTSD COMORBIDITY: A LATENT CLASS ANALYSIS

    PATTERNS OF LIFETIME PTSD COMORBIDITY: A LATENT CLASS ANALYSIS od Isaac R. Galatzer‐Levy, Angela Nickerson, Brett T. Litz, Charles R. Marmar

    Izdano 2012
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  6. 6
    Resilience and Disaster: Flexible Adaptation in the Face of Uncertain Threat

    Resilience and Disaster: Flexible Adaptation in the Face of Uncertain Threat od George A. Bonanno, Shuquan Chen, Rohini Bagrodia, Isaac R. Galatzer‐Levy

    Izdano 2023
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  7. 7
    Quantitative forecasting of PTSD from early trauma responses: A Machine Learning application

    Quantitative forecasting of PTSD from early trauma responses: A Machine Learning application od Isaac R. Galatzer‐Levy, Karen‐Inge Karstoft, Alexander Statnikov, Arieh Y. Shalev

    Izdano 2014
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  8. 8
    Gender Differences in Machine Learning Models of Trauma and Suicidal Ideation in Veterans of the Iraq and Afghanistan Wars

    Gender Differences in Machine Learning Models of Trauma and Suicidal Ideation in Veterans of the Iraq and Afghanistan Wars od Jaimie L. Gradus, M. King, Isaac R. Galatzer‐Levy, Amy E. Street

    Izdano 2017
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  9. 9
    Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD

    Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD od Isaac R. Galatzer‐Levy, Sisi Ma, Alexander Statnikov, Rachel Yehuda, Arieh Y. Shalev

    Izdano 2017
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  10. 10
    Heterogeneity in threat extinction learning: substantive and methodological considerations for identifying individual difference in response to stress

    Heterogeneity in threat extinction learning: substantive and methodological considerations for identifying individual difference in response to stress od Isaac R. Galatzer‐Levy, George A. Bonanno, David E. Bush, Joseph E. LeDoux

    Izdano 2013
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  11. 11
    Bridging a translational gap: using machine learning to improve the prediction of PTSD

    Bridging a translational gap: using machine learning to improve the prediction of PTSD od Karen‐Inge Karstoft, Isaac R. Galatzer‐Levy, Alexander Statnikov, Zhiguo Li, Arieh Y. Shalev

    Izdano 2015
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  12. 12
    Marijuana and other cannabinoids as a treatment for posttraumatic stress disorder: A literature review

    Marijuana and other cannabinoids as a treatment for posttraumatic stress disorder: A literature review od Maria M. Steenkamp, Esther Blessing, Isaac R. Galatzer‐Levy, Laura C. Hollahan, William T. Anderson

    Izdano 2017
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  13. 13
    Modern Views of Machine Learning for Precision Psychiatry

    Modern Views of Machine Learning for Precision Psychiatry od Zhe Chen, Prathamesh, Kulkarni, Isaac R. Galatzer‐Levy, Benedetta Bigio, Carla Nasca, Yu Zhang

    Izdano 2022
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  14. 14
    Modern views of machine learning for precision psychiatry

    Modern views of machine learning for precision psychiatry od Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, Benedetta Bigio, Carla Nasca, Yu Zhang

    Izdano 2022
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  15. 15
    Peritraumatic and trait dissociation differentiate police officers with resilient versus symptomatic trajectories of posttraumatic stress symptoms

    Peritraumatic and trait dissociation differentiate police officers with resilient versus symptomatic trajectories of posttraumatic stress symptoms od Isaac R. Galatzer‐Levy, Anita Madan, Thomas C. Neylan, Clare Henn‐Haase, Charles R. Marmar

    Izdano 2011
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  16. 16
    Forecasting individual risk for long-term Posttraumatic Stress Disorder in emergency medical settings using biomedical data: A machine learning multicenter cohort study

    Forecasting individual risk for long-term Posttraumatic Stress Disorder in emergency medical settings using biomedical data: A machine learning multicenter cohort study od Katharina Schultebraucks, Marit Sijbrandij, Isaac R. Galatzer‐Levy, Joanne Mouthaan, Miranda Olff, Mirjam van Zuiden

    Izdano 2021
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  17. 17
    Accuracy of machine learning-based prediction of medication adherence in clinical research

    Accuracy of machine learning-based prediction of medication adherence in clinical research od Vidya Koesmahargyo, Anzar Abbas, Li Zhang, Lei Guan, Shaolei Feng, Vijay Yadav, Isaac R. Galatzer‐Levy

    Izdano 2020
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  18. 18
    Early PTSD Symptom Trajectories: Persistence, Recovery, and Response to Treatment: Results from the Jerusalem Trauma Outreach and Prevention Study (J-TOPS)

    Early PTSD Symptom Trajectories: Persistence, Recovery, and Response to Treatment: Results from the Jerusalem Trauma Outreach and Prevention Study (J-TOPS) od Isaac R. Galatzer‐Levy, Yael Ankri, Sara Freedman, Yossi Israeli-Shalev, Pablo Roitman, Moran Gilad, Arieh Y. Shalev

    Izdano 2013
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  19. 19
    Remote Digital Measurement of Facial and Vocal Markers of Major Depressive Disorder Severity and Treatment Response: A Pilot Study

    Remote Digital Measurement of Facial and Vocal Markers of Major Depressive Disorder Severity and Treatment Response: A Pilot Study od Anzar Abbas, Colin Sauder, Vijay Yadav, Vidya Koesmahargyo, Allison Aghjayan, Serena Marecki, Miriam Evans, Isaac R. Galatzer‐Levy

    Izdano 2021
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  20. 20
    Positive and negative emotion prospectively predict trajectories of resilience and distress among high-exposure police officers.

    Positive and negative emotion prospectively predict trajectories of resilience and distress among high-exposure police officers. od Isaac R. Galatzer‐Levy, Adam D. Brown, Clare Henn‐Haase, Thomas J. Metzler, Thomas C. Neylan, Charles R. Marmar

    Izdano 2013
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