解放军医学院学报2023，Vol.44Issue(11)：1292-1296,5.DOI:10.12435/j.issn.2095-5227.2023.108
机器学习在谵妄风险预测模型构建中的研究进展
Research advances in delirium prediction model based on machine learning method
摘要
Abstract
Delirium is one of the common complications of hospitalized patients,which seriously affects the prognosis and outcome.Therefore,it is very important for the early prevention of delirium.The premise of prevention is to effectively identify high-risk patients who may have delirium.This paper mainly introduces the application status of machine learning in delirium prevention,so as to promote the construction of delirium prevention and evaluation system,and provide reference for formulating effective delirium prevention strategies,then reduce the occurrence of delirium.关键词
机器学习/人工智能/谵妄/风险因素/预测模型Key words
machine learning/artificial intelligence/delirium/risk factor/prediction model分类
医药卫生引用本文复制引用
张伟丽,邱晨,宋玉祥,罗云根,宋咪,高远..机器学习在谵妄风险预测模型构建中的研究进展[J].解放军医学院学报,2023,44(11):1292-1296,5.基金项目
国家重点研发计划(2022YCF2504300) （2022YCF2504300）
国家自然科学基金项目(72204262) （72204262）
