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Updated: May 13, 2026

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

Published on: January 11, 2020

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基于机器学习的老年住院患者 Delirium 风险预测模型的开发和验证:前性队列研究

Xu-Hua Zhou1, Di-Fei Duan2, Meng Zhang3

  • 1Hemodialysis Center, Department of Nephrology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, Sichuan, People's Republic of China.

Journal of advanced nursing
|September 2, 2025
PubMed
概括

这项研究开发了一种机器学习模型来预测老年住院患者的妄想. 随机森林模型表现出色,有助于早期诊断和改善患者护理的临床决策.

关键词:
一种幻觉机器学习年长的住院患者风险预测模型

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