PERI_DEP: 巴基斯坦母亲心理健康数据集
Amna Zafar1, Beenish Ayesha Akram2, Muhammad Wasim3
1Department of Computer Science, University of Engineering and Technology, Lahore, Pakistan.
Data in brief
|June 11, 2025
概括
本研究介绍了PERI_DEP数据集,以解决巴基斯坦围产期抑郁症 (PND) 研究中的阶级不平衡问题. 调查结果突出了城市和农村妇女之间的社会人口统计差异,改善了PND查和干预策略.
科学领域:
- 心理健康研究 心理健康研究
- 临床心理学 临床心理学
- 公共卫生 公共卫生
背景情况:
- 围产期抑郁症 (PND) 在怀孕和产后期间显著影响女性的心理健康.
- 现有的数据集往往受到阶级不平衡的影响,导致研究结果具有偏见.
- 巴基斯坦需要全面的数据集来准确研究PND.
研究的目的:
- 为巴基斯坦的PND研究引入新的PERI_DEP数据集.
- 解决围产期心理健康数据中的阶级不平衡问题.
- 提供对影响城市和农村巴基斯坦妇女PND的社会人口因素的见解.
主要方法:
- 开发PERI_DEP数据集,包括来自拉合尔和古吉兰瓦拉的14008个样本.
- 使用了患者健康问卷 (PHQ-9),爱丁堡产后抑郁症量表 (EPDS) 和社会人口统计调查.
- 雇员生成对抗网络 (GAN) 过量采样以缓解阶级不平衡.
主要成果:
- PERI_DEP数据集提供了对PND流行率和相关因素的平衡观点.
- 确定了巴基斯坦城市和农村地区妇女之间的显著社会人口统计差距.
- 证明了 GAN 过量抽样在处理 PND 研究不平衡数据方面的有效性.
结论:
- PERI_DEP数据集是推动巴基斯坦PND研究的宝贵资源.
- 调查结果强调了在PND干预中考虑社会人口统计学背景的重要性.
- 这一数据集可以增强临床查,干预定制和PND风险因素识别.
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