相关实验视频

Updated: Jun 9, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

开发和验证社区老年轻度认知障碍风险计算器 (CGMCI-风险)

Jiangwei Chen¹, Qing Fang¹, Kehua Yang²

¹School of Nursing, Hangzhou Normal University, Hangzhou 311121, China.

Healthcare (Basel, Switzerland)

|October 25, 2024

概括

一个新的工具,社区老年轻度认知障碍风险计算器 (CGMCI-Risk),有助于识别有轻度认知障碍 (MCI) 高风险的老年人. 这个计算器使用常见的因素来预测认知能力在三年内下降.

科学领域:

老年医学老年医学
认知神经学认知神经学
公共卫生公共卫生

背景情况:

轻度认知障碍 (MCI) 是老年人群的重大公共卫生问题.
早期识别患有MCI高风险的个人对于及时干预至关重要.
社区医疗保健机构需要为主动认知健康评估提供可访问的工具.

研究的目的:

开发和验证社区老年轻度认知障碍风险计算器 (CGMCI-风险).
为社区卫生保健工作者创建一个工具,以识别患有MCI高风险的个人.
建立一种可靠的方法,在社区环境中预测老年人MCI风险.

主要方法:

在国家代表性社区调查数据上使用后勤回归的CGMCI-风险计算器的开发.
通过向后渐进回归进行变量选择.
通过引导重新抽样进行内部验证,通过时间验证进行外部验证.
使用AUROC,校准曲线和决策曲线分析 (DCA) 评估模型性能.

主要成果:

该CGMCI-风险模型结合了预测因素,包括年龄,教育,性别,运动,园艺,媒体消费,IADL,听力和功能.
该模型在内部验证中显示出良好的歧视,AUROC为0.781 (95%CI:0.7660.796).
外部验证证实了该模型的稳定性,达到0.782的AUROC (95%CI:0.7630.801).
校准分析显示了强烈的一致性,DCA表明了显著的临床实用性.

结论:

CGMCI-风险计算器是评估社区居住的老年人认知功能风险的有效工具.
该计算器使用易于获得的预测变量,促进医疗保健专业人员早期识别风险.
CGMCI-风险提供了一种有价值的手段,用于预测在三年内发展轻度认知障碍的风险.

关键词:

认知障碍认知障碍是一种认知障碍.认知功能认知功能社区健康社区健康医疗保健医疗保健医疗保健医疗保健轻度的认知障碍轻度的认知障碍预测模型预测模型风险模型的风险模型.

更多相关视频

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

Development of a Virtual Reality Assessment of Everyday Living Skills

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

相关概念视频

Cognitive Development During Adulthood

Cognitive Development During Adulthood

Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...