基于机器学习的认知评估与自主认知检查:随机对照试验
Calvin Howard1,2,3,4, Amy Johnson5, Sheena Baratono1,2
1Center for Brain Circuit Therapeutics, Brigham & Women's Hospital, Harvard Medical School, 60 Fenwood Road, Boston, MA, 02215, United States.
自主认知检查 (ACoE) 可靠地评估认知功能,并可以选患者,类似于传统测试. 这个数字工具为临床环境中的认知表型提供了一个可扩展的解决方案.
科学领域:
- 神经学 神经学
- 认知科学 认知科学
- 数字健康数字健康
背景情况:
- 痴呆症患病率上升需要可扩展的认知评估解决方案.
- 自主认知检查 (ACoE) 是认知症状表型化的基础工具.
- 目前尚不清楚ACoE在临床人群中的外部验证及其查实用性.
研究的目的:
- 为了外部验证自主认知检查 (ACoE) 以获得可靠的认知表型.
- 与标准的纸质认知测试相比,评估ACOE作为选工具的有效性.
主要方法:
- 一项随机交叉研究涉及46名神经病患者,将ACoE与纸质测试 (ACE-3或MoCA) 进行比较.
- 评估了整体和特定领域认知得分的评分器间可靠性.
- 评估了ACOE与已建立的认知评估相似地对患者进行分类的能力.
主要成果:
- 对于整体认知分数 (ICC=0.89) 和特定领域 (注意:ICC=0.74,语言:ICC=0.89,记忆:ICC=0.91,流利性:ICC=0.74,视觉空间:ICC=0.78) 的评级者间可靠性是很高的.
- ACoE有效地选患者,实现与纸质测试具有很高的诊断相似性 (AUC=0.96).
结论:
- 自主认知检查 (ACoE) 可靠地确定患者认知症状的表型.
- ACoE对于查认知障碍患者是有效的.
- 未来的应用可能包括诊断特定的认知病因.
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