AIMC Topic: Afghan Campaign 2001-

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Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers.

Journal of affective disorders Jun 10, 2015
BACKGROUND: Pre-deployment identification of soldiers at risk for long-term posttraumatic stress psychopathology after home coming is important to guide decisions about deployment. Early post-deployment identification can direct early interventions t...
Risk Assessment Resilience, Psychological Male Support Vector Machine Military Personnel Longitudinal Studies Afghan Campaign 2001- Stress Disorders, Post-Traumatic Denmark Cohort Studies Predictive Value of Tests Emotions Prospective Studies Machine Learning Adult Humans Algorithms Female
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Retool AI to forecast and limit wars.

Nature Oct 1, 2018
Machine Learning Forecasting Artificial Intelligence Humans Syria Gross Domestic Product Iraq Sociological Factors Relief Work Violence Computer Simulation Databases, Factual Child United Nations Data Collection Afghan Campaign 2001- Armed Conflicts
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Evaluation of a Technology-Based Adaptive Learning and Prevention Program for Stress Response-A Randomized Controlled Trial.

Military medicine Aug 1, 2016
To prevent deployment-related disorders, Chaos Driven Situations Management Retrieval System (CHARLY), a computer-aided training platform with a biofeedback interface has been developed. It simulates critical situations photorealistic for certain tar...
Attitude to Health Occupations Afghan Campaign 2001- Chi-Square Distribution Adaptation, Psychological Analysis of Variance Workforce Military Personnel Stress Disorders, Post-Traumatic Male Humans Adult Female Stress, Psychological Psychometrics Risk Factors Machine Learning
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