通过人工智能方法评估大学生应对地震的策略
Suleyman Alpaslan Sulak1, Nigmet Koklu2
1Ahmet Kelesoglu Educational Faculty, Necmettin Erbakan University, Konya, Türkiye. sulak@erbakan.edu.tr.
Scientific reports
|August 29, 2025
概括
这项研究使用人工智能分析土耳其成年人的地震应对策略. 后勤回归模型准确地预测了应对机制,
科学领域:
- 心理学
- 灾难管理
- 公共卫生
背景情况:
- 地震是一种破坏性自然灾害,对全球生命和基础设施构成威胁.
- 了解心理反应,如压力和应对机制, 对于有效的灾害管理至关重要.
- 成年人应对地震压力的策略需要进一步研究,特别是在高风险地区.
研究的目的:
- 评估土耳其成年人应对地震压力的策略.
- 应用基于人工智能的方法来预测地震应对压力.
- 确定影响学生应对机制的关键变量.
主要方法:
- 在土耳其收集了858名大学生 (2024年1月至3月) 的数据,使用"应对地震压力量表".
- 人工智能预测模型使用后勤回归 (LR),包装和随机森林 (RF) 算法开发.
- 用于强大的模型培训和评估的交叉验证技术.
主要成果:
- 后勤回归 (LR) 实现了最高的预测准确度,达到98.60%.
- 随机森林 (RF) 的准确率为85. 89%.
- 包装算法表现最低,准确率为79.95%.
结论:
- 人工智能模型,特别是LR,有效地识别和预测地震应对策略.
- 这些发现为加强灾难准备,心理支持和社区恢复能力提供了宝贵的见解.
- 这项研究有助于制定减轻地震相关心理影响的公共卫生战略.
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