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Adverse Childhood Experiences

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Can adverse childhood experiences predict chronic health conditions? Development of trauma-informed, explainable machine learning models.

Frontiers in public health
INTRODUCTION: Decades of research have established the association between adverse childhood experiences (ACEs) and adult onset of chronic diseases, influenced by health behaviors and social determinants of health (SDoH). Machine Learning (ML) is a p...

Identifying Preliminary Risk Profiles for Dissociation in 16- to 25-Year-Olds Using Machine Learning.

Early intervention in psychiatry
INTRODUCTION: Dissociation is associated with clinical severity, increased risk of suicide and self-harm, and disproportionately affects adolescents and young adults. Whilst evidence indicates multiple factors contribute to dissociative experiences, ...

Domestic violence and childhood trauma among married women using machine learning approach: a cross-sectional study.

BMC public health
BACKGROUND: Globally, 27% of ever-partnered women aged 15-49 have experienced physical, sexual, or intimate partner violence at least once in their lifetime. In Saudi Arabia, domestic violence (DV) remains a concern despite cultural and economic adva...

AI-Driven Care Navigation to Foster Early Childhood Resilience and Positive Childhood Experiences.

Studies in health technology and informatics
Early life experiences are crucial for health and well-being, influencing physical, emotional, and social development throughout the lifespan. Recent research shows that Positive Childhood Experiences (PCEs), such as access to supportive environments...