护理学报2023，Vol.30Issue(23)：57-62,6.DOI:10.16460/j.issn1008-9969.2023.23.057
基于机器学习的主观认知下降老年人认知功能状况的影响因素分析
Influencing factors of cognitive function of older adults with subjective cognitive decline based on machine learning
摘要
Abstract
Objective To explore the influencing factors and provide reference for the prevention and intervention of cognitive decline in elderly people with subjective cognitive decline(SCD)by comparing cognitive function predictive models based on machine learning.Methods With the data of China Health and Retirement Longitudinal Study(CHARLS)in 2018,2,969 elderly people with SCD were screened out.The least absolute shrinkage and selection operator(LASSO)regression,support vector regression(SRV),and random forest(RF)regression were used to construct predictive models for cognitive function of the elderly with SCD.The influencing factors of cognitive function were extracted based on the optimal predictive model.Results Among the three models,the one constructed by RF regression demonstrated the highest accuracy in predicting cognitive function in older adults experiencing SCD(R2=0.864,MAE=1.988,MSE=5.879).The factors affecting the cognitive function of the elderly with SCD can be ranked in order of importance as follows:physical dysfunction,age,the total score of depression,self-assessment of health,education background,the total score of entertainment,cleanliness,nap time,total score of IADL,with broadband or not.Conclusion Cognitive function predictive model constructed using RF regression demonstrates superior performance compared to models constructed using LASSO regression and SVR.By integrating the specific circumstances and risk factors of older adults,clinical professionals can develop personalized and multidimensional intervention plans that address factors such as learning,leisure activities,daily routines,nap time,and internet usage,so as to prevent cognitive function decline in older adults experiencing SCD.关键词
主观认知下降/老年人/机器学习/认知功能Key words
subjective cognitive decline/older adult/machine learning/cognitive function分类
医药卫生引用本文复制引用
刘海虹,张小雷,薛茹,陶佳雨,李晓敏,李峰,刘海宁..基于机器学习的主观认知下降老年人认知功能状况的影响因素分析[J].护理学报,2023,30(23):57-62,6.基金项目
河北省神经损伤与修复重点实验室开放课题(NJKF202302) （NJKF202302）
河北省高等学校人文社会科学研究项目(SQ2023137) （SQ2023137）
河北省自然科学基金(C2022406010) （C2022406010）
国家自然科学基金(32300931) （32300931）
教育部人文社科基金青年项目(23YJCZH130) （23YJCZH130）
