测量算法偏差以分析AI工具的可靠性,这些工具使用智能手机感知行为数据预测抑郁风险
Research square
|May 15, 2024
概括
心理健康护理的AI工具在不同人群中显示精度降低,因为感知行为是不同群体抑郁症的不可靠预测因素. 需要针对特定人群量身定制的解决方案来改善AI心理健康预测.
科学领域:
- 数字心理健康数字心理健康
- 计算精神病学是一种计算精神病学.
- 医疗保健中的人工智能
背景情况:
- 人工智能工具旨在使用智能手机传感器数据远程估计抑郁风险.
- 当前的人工智能工具在同质群体中显示出高精度,但与多样化的群体扎.
结论:
- 人工智能心理健康工具的普遍性需要进行批判性评估.
- 为特定人群开发定制的人工智能解决方案对于准确的心理健康护理至关重要.
- 未来的研究应该专注于用于心理健康预测的子组特定行为标记.
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