Uncovering social-contextual and individual mental health factors associated with violence via computational inference

Keyphrases

• Ex-member 100%
• Mental Health Factors 100%
• Computational Inference 100%
• Individual Mental Health 100%
• Illegal Armed Groups 60%
• Colombia 40%
• Computational Approach 40%
• Deep Learning 40%
• Acts of Violence 40%
• Historical Assessment 40%
• Social Contextual Factors 40%
• Human Violence 40%
• Colombians 20%
• Machine Learning Techniques 20%
• Vulnerable Populations 20%
• Social Networks 20%
• Historical Records 20%
• Machine Learning 20%
• Historical Data 20%
• Population-based 20%
• Analytical Approach 20%
• Violent Behavior 20%
• Feature Removal 20%
• Personality Traits 20%
• Methodological Assessment 20%
• Age-stage 20%
• Data-driven Approach 20%
• Accurate Classification 20%
• Contextual Factors 20%
• Multi-feature 20%
• Academic Field 20%
• Multiple Determinants 20%
• Multidimensional Assessment 20%
• Population-based Evidence 20%
• Multiple Questions 20%
• Health Potential 20%
• Potential Predictors 20%
• Evidence-based Assessment 20%
• Education Stage 20%
• Best Individual 20%
• Membership Identification 20%
• Combinatorial Classification 20%
• Combined Deep Learning 20%
• Methodological Innovation 20%
• Consequentialist 20%

INIS

• assessments 100%
• populations 60%
• learning 60%
• classification 60%
• data 40%
• colombia 40%
• humans 40%
• machine learning 40%
• interactions 20%
• education 20%
• sex 20%
• symptoms 20%
• weight 20%
• accuracy 20%
• yields 20%

Psychology

• Mental Health 100%
• Personality Trait 20%