识别和优先考虑关系教育计划的核心组成部分:人工智能 (AI) 辅助系统审查的案例研究
Claire Kelley1, Sarah Kelley2, Matthew Rivas-Koehl3
1Child Trends, Bethesda, USA. ckelley@childtrends.org.
概括
人工智能 (AI) 通过有效选研究以获得有效的关系教育计划,增强预防科学中的系统审查. 虽然人工智能加速了审查,但人类的专业知识仍然对复杂的数据分析至关重要.
科学领域:
- 预防科学 预防科学
- 社会和情绪健康 社交和情绪健康
- 公共卫生干预措施 公共卫生干预措施
背景情况:
- 预防科学旨在确定应对社会,情感和健康挑战的有效策略.
- 确定预防计划的核心组成部分对于积极的结果至关重要.
- 系统审查对于综合研究至关重要,但可能耗时.
研究的目的:
- 介绍使用人工智能 (AI) 辅助系统审查方法的案例研究.
- 确定健康婚姻和关系教育计划的关键组成部分.
- 在系统的文献评论中评估AI的效率和准确性.
主要方法:
- 人工智能辅助的系统审查方法用于识别关系教育计划的关键组成部分.
- 使用人工智能工具选,编码和验证22,028个资源.
- 最终数据集包括在AI驱动的包容性查后的268项相关研究.
主要成果:
- 人工智能显著加快了系统审查过程,特别是在纳入选方面.
- 在人工智能辅助的选阶段保持了高精度.
- 在人工智能辅助的定性数据抽象中发现了挑战,突出了对人类监督的需求.
结论:
- 人工智能工具提供了一个有希望的方法来提高预防科学中的系统审查的效率和准确性.
- 人工智能集成可以加快有效预防策略的识别.
- 人类专业知识仍然是人工智能辅助审查中细微的定性数据抽象不可或缺的.
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