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Updated: Jan 17, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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机器学习预测模型的开发和解释,用于高血压中与环境因素相关的早期认知障碍

Xia Zhong1, Tianen Zhao2, Shimeng Lv3

  • 1Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.

Frontiers in cardiovascular medicine
|September 15, 2025
PubMed
概括

这项研究开发了一个XGBoost模型,使用个人和环境因素来预测高血压患者早期认知障碍. 该模型在识别有风险的个体方面表现出卓越的表现,有助于早期干预策略.

关键词:
认知障碍是一种认知障碍.环境暴露因子环境暴露因子这种高血压是高血压.机器学习是机器学习.预测模型是一个预测模型.

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