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

机译：利用机器学习预测后创伤后应力：重新检查预测和途径的皮质醇对非延长应激障碍的途径

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I R Galatzer-Levy; S Ma; A Statnikov; R Yehuda; A Y Shalev;
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年度 2017
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1. Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD [J] . I R Galatzer-Levy, S Ma, A Statnikov, Translational psychiatry. . 2017,第3期

机译：利用机器学习预测创伤后压力：预测中皮质醇的重新检查和通向持久性PTSD的途径
2. Effects of interpersonal violence-related post-traumatic stress disorder (PTSD) on mother and child diurnal cortisol rhythm and cortisol reactivity to a laboratory stressor involving separation [J] . Cordero Maria I., Moser Dominik A., Manini Aurelia, Hormones and behavior . 2017,第期

机译：人际暴力相关后创伤性应激障碍（PTSD）对涉及分离的实验室压力源性儿童昼夜皮质醇节律和皮质醇反应性的影响
3. Prediction of Compounds Activity in Nuclear Receptor Signaling and Stress Pathway Assays Using Machine Learning Algorithms and Low-Dimensional Molecular Descriptors [J] . Stefaniak Filip Frontiers in Environmental Science . 2015,第2期

机译：使用机器学习算法和低维分子描述符预测核受体信号传导和应力通路分析中的化合物活性
4. Altered cortical activation and functional network in post-traumatic stress disorder (PTSD) during an auditory cognitive processing [C] . Miseon Shim, Seung-Hwan Lee, Han-Jeong Hwang International Winter Conference on Brain-Computer Interface . 2020

机译：创伤后应激障碍（PTSD）听觉认知过程中皮质激活和功能网络的改变
5. Stress, Trauma, and Resilience in African-American Hurricane Katrina Survivors: Stress Exposures and Perceived Stress Endurance as Associated with Long-Term Depression, Post-Traumatic Stress, and Cortisol Levels. [D] . Joseph, Nataria Tennille. 2011

机译：非洲裔美国卡特里娜飓风幸存者的压力，创伤和复原力：与长期抑郁，创伤后压力和皮质醇水平相关的压力暴露和感知的耐力。
6. Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD [O] . I R Galatzer-Levy, S Ma, A Statnikov, 2017

机译：利用机器学习预测创伤后应激：预测中皮质醇的重新检查以及通往不缓解PTSD的途径
7. Prediction of compounds activity in nuclear receptor signaling and stress pathway assays using machine learning algorithms and low dimensional molecular descriptors [O] . Filip eStefaniak 2015

机译：使用机器学习算法和低维分子描述符预测核受体信号传导和应激途径测定中的化合物活性

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

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