TY  - JOUR
PY  - 2023//
TI  - Machine learning techniques for identifying mental health risk factor associated with schoolchildren cognitive ability living in politically violent environments
JO  - Frontiers in psychiatry
A1  - Qasrawi, Radwan
A1  - Vicuna Polo, Stephanny
A1  - Abu Khader, Rami
A1  - Abu Al-Halawa, Diala
A1  - Hallaq, Sameh
A1  - Abu Halaweh, Nael
A1  - Abdeen, Ziad
SP  - e1071622
EP  - e1071622
VL  - 14
IS  - 
N2  - INTRODUCTION: Mental health and cognitive development are critical aspects of a child's overall well-being; they can be particularly challenging for children living in politically violent environments. Children in conflict areas face a range of stressors, including exposure to violence, insecurity, and displacement, which can have a profound impact on their mental health and cognitive development. <br><br>METHODS: This study examines the impact of living in politically violent environments on the mental health and cognitive development of children. The analysis was conducted using machine learning techniques on the 2014 health behavior school children dataset, consisting of 6373 schoolchildren aged 10-15 from public and United Nations Relief and Works Agency schools in Palestine. The dataset included 31 features related to socioeconomic characteristics, lifestyle, mental health, exposure to political violence, social support, and cognitive ability. The data was balanced and weighted by gender and age. <br><br>RESULTS: This study examines the impact of living in politically violent environments on the mental health and cognitive development of children. The analysis was conducted using machine learning techniques on the 2014 health behavior school children dataset, consisting of 6373 schoolchildren aged 10-15 from public and United Nations Relief and Works Agency schools in Palestine. The dataset included 31 features related to socioeconomic characteristics, lifestyle, mental health, exposure to political violence, social support, and cognitive ability. The data was balanced and weighted by gender and age. <br><br>DISCUSSION: The findings can inform evidence-based strategies for preventing and mitigating the detrimental effects of political violence on individuals and communities, highlighting the importance of addressing the needs of children in conflict-affected areas and the potential of using technology to improve their well-being.<p />  <p>Language: en</p>
LA  - en
SN  - 1664-0640
UR  - http://dx.doi.org/10.3389/fpsyt.2023.1071622
ID  - ref1
ER  -