使用模糊的决策支持,为学龄前儿童创造积极的心理健康环境
1Graduate School, Philippine Women'S University, 1004, Manila, Philippines. lixinyue188@outlook.com.
Scientific reports
|April 10, 2025
概括
这项研究开发了一个模糊的决策支持系统,以准确预测学龄前儿童的行为并改善心理健康. 该系统实现了高精度,有助于早期发现和干预发展挑战.
科学领域:
- 发展心理学 发展心理学
- 计算精神病学是一种计算精神病学.
- 医疗保健中的机器学习
背景情况:
- 幼儿园年龄对于社会情感发展和心理健康至关重要.
- 学前儿童容易受到创伤的影响,可能导致诸如侵略和情绪失调等行为问题.
- 早期发现和干预对于学龄前儿童的心理健康至关重要,但面临着数据和方法方面的挑战.
研究的目的:
- 增强幼儿行为评估和决策的心理健康.
- 开发一个有效的模糊决策支持 (FDS) 系统来分析学龄前儿童的行为.
- 克服早期儿童心理健康数据分析方法的局限性.
主要方法:
- 利用了一个模糊的决策支持系统,有模糊的规则和会员功能.
- 在学前儿童症状检查清单 (PPSC) 的数据中应用了模糊化和脱模糊化技术.
- 分析了儿童行为,注意力水平和心理健康结果之间的关系.
主要成果:
- FDS系统实现了高精度 (97.98%),特异性 (96.79%) 和灵敏度 (97.08%).
- 在预测行为结果时,证明了0.28的最小错误率.
- 有效地确定行为和注意力之间的关系,支持心理健康决策.
结论:
- FDS系统为改善学龄前儿童心理健康评估提供了准确和有效的工具.
- 通过这个系统进行行为预测可以增强早期干预策略.
- 未来的研究应该专注于各种数据集和实时数据集成,以实现更广泛的概括性.
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