用于识别与生活在政治暴力环境中的学童认知能力相关的心理健康风险因素的机器学习技术。
Machine learning techniques for identifying mental health risk factor associated with schoolchildren cognitive ability living in politically violent environments.
作者信息
Qasrawi Radwan, Vicuna Polo Stephanny, Abu Khader Rami, Abu Al-Halawa Diala, Hallaq Sameh, Abu Halaweh Nael, Abdeen Ziad
机构信息
Department of Computer Sciences, Al-Quds University, Jerusalem, Palestine.
Department of Computer Engineering, Istinye University, Istanbul, Türkiye.
出版信息
Front Psychiatry. 2023 May 26;14:1071622. doi: 10.3389/fpsyt.2023.1071622. eCollection 2023.
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.
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.
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.
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.
引言
心理健康和认知发展是儿童整体福祉的关键方面；对于生活在政治暴力环境中的儿童来说，这些方面可能尤其具有挑战性。冲突地区的儿童面临一系列压力源，包括接触暴力、不安全和流离失所，这会对他们的心理健康和认知发展产生深远影响。
方法
本研究考察了生活在政治暴力环境中对儿童心理健康和认知发展的影响。分析使用机器学习技术，基于2014年健康行为学童数据集进行，该数据集由来自巴勒斯坦公立学校和联合国近东巴勒斯坦难民救济和工程处学校的6373名10至15岁学童组成。该数据集包括31个与社会经济特征、生活方式、心理健康、接触政治暴力、社会支持和认知能力相关的特征。数据按性别和年龄进行了平衡和加权。
结果
本研究考察了生活在政治暴力环境中对儿童心理健康和认知发展的影响。分析使用机器学习技术，基于2014年健康行为学童数据集进行，该数据集由来自巴勒斯坦公立学校和联合国近东巴勒斯坦难民救济和工程处学校的6373名10至15岁学童组成。该数据集包括31个与社会经济特征、生活方式、心理健康、接触政治暴力、社会支持和认知能力相关的特征。数据按性别和年龄进行了平衡和加权。
讨论
研究结果可为预防和减轻政治暴力对个人和社区的有害影响提供循证策略，突出解决受冲突影响地区儿童需求的重要性以及利用技术改善其福祉的潜力。
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