老年人认知障碍的智能化认知筛查工具研究进展
Research Progress in Intelligent Screening Tools for Cognitive Impairment in the Elderly
查看参考文献39篇
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文摘
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随着认知障碍的发病率逐年升高,新发认知障碍的早期筛查和预防可以被视为对当前世界医疗保健系统的主要挑战。互联网技术发展迅速并深度赋能可应用于医疗的各个环节中,老年人认知与心理干预已经进入数字疗法时代。认知障碍存在就诊率低、漏诊率高的问题,显著增加了家庭和社会的照顾护理成本,因此加强老年人认知障碍筛查和提升老年认知障碍电子化评估的普及度也势在必行。本文就近年来国内外出现的老年认知障碍电子化评估工具进行综述,以期对推进智能化评估普及到社区,实现老年认知障碍早评估早发现早干预早治疗的目标有所帮助。 |
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其他语种文摘
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As the incidence of cognitive impairment increases year by year,early screening and prevention of emerging cognitive impairment can be considered as a major challenge in the current healthcare system around the world.With the rapid development of Internet technology and its deep empowerment in all aspects of medical treatment,cognitive and psychological intervention for the elderly has entered the era of digital therapeutics.The low consultation rate and high missed diagnosis rate of cognitive impairment increase the care costs,causing a heavy burden on the families and the society.Therefore,it is imperative to improve the screening and popularize the electronic assessment of cognitive impairment in the elderly.This article reviews the electronic assessment tools for cognitive impairment in the elderly that have emerged at home and abroad in recent years,aiming to promote the popularization of intelligent assessment in communities and achieve early screening and timely intervention of cognitive impairment in the elderly. |
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来源
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中国医学科学院学报
,2024,46(1):104-110 【核心库】
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DOI
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10.3881/j.issn.1000-503X.15519
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关键词
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认知障碍
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评估
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智能化
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筛查
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社区
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老年人
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地址
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上海交通大学医学院附属精神卫生中心, 上海, 200030
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语种
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中文 |
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文献类型
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综述型 |
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ISSN
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1000-503X |
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学科
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神经病学与精神病学 |
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基金
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国家科技部重点研发计划
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上海市科普创新项目
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文献收藏号
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CSCD:7673070
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参考文献 共
39
共2页
|
|
1.
Zhou M. Mortality,morbidity, and risk factors in China and its provinces,1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.
Lancet,2019,394(10204):1145-1158
|
CSCD被引
843
次
|
|
|
|
|
2.
Ren R. The China Alzheimer report 2022.
Gen Psychiatr,2022,35(1):e100751
|
CSCD被引
45
次
|
|
|
|
|
3.
Mullins M A. Access to primary care and cognitive impairment: results from a national community study of aging Americans.
BMC Geriatr,2021,21(1):580
|
CSCD被引
1
次
|
|
|
|
|
4.
李舜伟. 认知功能障碍的诊断与治疗.
中国神经精神疾病杂志,2006,32(2):189-191
|
CSCD被引
25
次
|
|
|
|
|
5.
Wimo A. The worldwide costs of dementia 2015 and comparisons with 2010.
Alzheimers Dement,2017,13(1):1-7
|
CSCD被引
11
次
|
|
|
|
|
6.
Jia J. The cost of Alzheimer's disease in China and re-estimation of costs worldwide.
Alzheimers Dement,2018,14(4):483-491
|
CSCD被引
138
次
|
|
|
|
|
7.
National Bureau of Statistics.
The seventh national census of China,2021
|
CSCD被引
1
次
|
|
|
|
|
8.
Jia J. Diagnosis and treatment of dementia in neurology outpatient departments of general hospitals in China.
Alzheimers Dement,2016,12(4):446-453
|
CSCD被引
12
次
|
|
|
|
|
9.
解恒革. 积极推进认知障碍的社区筛查.
中华老年心脑血管病杂志,2022,24(8):785-788
|
CSCD被引
3
次
|
|
|
|
|
10.
高弈宁. 老龄化时代的社区认知障碍筛查服务模式.
中国老年学杂志,2021,41(21):4860-4864
|
CSCD被引
1
次
|
|
|
|
|
11.
Valladares-Rodriguez S. Learning to detect cognitive impairment through digital games and machine learning techniques.
Methods Inf Med,2018,57(4):197-207
|
CSCD被引
1
次
|
|
|
|
|
12.
蔡明. 社区老年人轻度认知障碍筛查量表应用策略研究.
中国全科医学,2022,25(25):3191-3195
|
CSCD被引
3
次
|
|
|
|
|
13.
马蔚蔚. 阿尔茨海默病社区筛查和诊断的研究进展.
中国全科医学,2021,24(6):643-651
|
CSCD被引
4
次
|
|
|
|
|
14.
Zielasek J. Adapting and implementing apps for mental healthcare.
Curr Psychiatry Rep,2022,24(9):407-417
|
CSCD被引
1
次
|
|
|
|
|
15.
Adler K. Computerized cognitive performance assessments in the Brooklyn cognitive impairments in health disparities pilot study.
Alzheimers Dement,2019,15(11):1420-1426
|
CSCD被引
1
次
|
|
|
|
|
16.
Borgnis F. Available virtual realitybased tools for executive functions: a systematic review.
Front Psychol,2022,13:833136
|
CSCD被引
2
次
|
|
|
|
|
17.
Andersson G. Internet interventions: past,present and future.
Internet Interv,2018,12:181-188
|
CSCD被引
1
次
|
|
|
|
|
18.
Valladares-Rodriguez S. Touchscreen games to detect cognitive impairment in senior adults. A user-interaction pilot study.
Int J Med Inform,2019,127:52-62
|
CSCD被引
2
次
|
|
|
|
|
19.
Souillard-Mandar W. DCTclock: clinically-interpretable and automated artificial intelligence analysis of drawing behavior for capturing cognition.
Front Digit Health,2021,3:750661
|
CSCD被引
1
次
|
|
|
|
|
20.
Fung A W. Validation of a computerized Hong Kong-vigilance and memory test (HK-VMT) to detect early cognitive impairment in healthy older adults.
Aging Ment Health,2020,24(1):186-192
|
CSCD被引
1
次
|
|
|
|
|
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