对于抑郁症评估的智能手机模式的数据集:一个范围审查
M L Tlachac1, Michael V Heinz2, Anastasia C Bryan3
1Department of Information Systems and Analytics, Bryant University, Smithfield, RI 02911 USA.
概括
这份对80个抑郁症评估数据集的审查强调了常见的移动传感数据,如位置和通信日志. 它确定了限制和模式,以指导未来的移动健康研究.
科学领域:
- 数字健康数字健康
- 心理健康研究 心理健康研究
- 移动传感器 移动传感器
背景情况:
- 对于抑郁症评估的移动传感正在迅速发展.
- 现有研究经常使用相同的数据集,需要了解它们的模式和局限性.
- 对可用的数据集进行全面的审查对于推进该领域至关重要.
研究的目的:
- 进行用于抑郁症评估的移动传感数据集的范围审查.
- 确定常见的数据模式,抑郁症查工具和参与者人口统计数据.
- 发现这些数据集中的基本模式和局限性.
主要方法:
- 系统识别80个包含智能手机模式和抑郁症标签的数据集,直到2024年初.
- 分析了来自72个手稿和大约60个研究小组的数据.
- 收集的智能手机模式,选工具和参与者招聘策略的分类.
主要成果:
- 位置/活动 (68.75%),通信日志 (47.5%) 和电话使用 (41.25%) 是最常见的模式.
- 患者健康问卷 (PHQ-8和PHQ-9) 是最常见的查工具 (53.75%).
- 数据集主要包括学生 (31.25%) 或患者 (22.5%) 群体,其中73%报告大多数是女性参与者.
结论:
- 本范围审查提供了当前数据集的基本概述,用于抑郁症研究中的移动传感.
- 了解数据集特征,包括常见的模式和人口统计数据,对于解释研究结果和指导未来研究至关重要.
- 这些发现将为科学现状提供信息,并指导未来的移动健康研究工作.
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