在使用无监督聚类的基于人口的调查中识别痴呆症的高概率:纵向分析
Amin Gharbi-Meliani1, François Husson2, Henri Vandendriessche3
1Neuropsychologie Interventionnelle, U955 E01, Institut Mondor de Recherche Biomédicale & Département d'études Cognitives, INSERM, Ecole Normale Supérieure, Université PSL, Université Paris-Est Créteil, Creteil, 94000, France.
Alzheimer's research & therapy
|November 29, 2023
概括
机器学习在老龄化调查中发现了可能的痴呆症,发现的病例比自我报告更多. 这种方法有助于了解缺乏临床诊断的人群中痴呆风险因素.
科学领域:
- 老年学是一门学科.
- 认知科学 认知科学
- 流行病学 流行病学
背景情况:
- 痴呆症的特点是认知能力下降影响日常功能.
- 纵向老化调查往往缺乏临床痴呆症诊断,但收集认知和功能数据.
- 无监督机器学习可以从纵向数据中识别可能的痴呆症.
研究的目的:
- 使用无监督机器学习和纵向数据来识别可能的痴呆症.
- 根据性别和年龄估计可能痴呆症的患病率.
- 评估痴呆症风险因素,并比较机器学习衍生状态与自我报告的痴呆症.
主要方法:
- 多因素分析和对主要组件的层次分类被应用于欧洲健康,老龄化和退休调查 (SHARE) 中15278名参与者 (50岁以上) 的数据.
- 估计了可能的痴呆症患病率,并使用多状态模型评估过渡到痴呆症的风险因素.
- 这些发现在英国长度老化研究 (ELSA) 队列中得到了验证.
主要成果:
- 该算法发现了比自我报告更可能的痴呆病例,具有良好的区分能力 (AUC 0.754-0.830).
- 在老年人中,可能的痴呆症更为常见,女性与男性的比例为2:1.
- 发现了9个痴呆症转变的危险因素:教育程度低,听力损失,高血压,饮酒,吸烟,抑郁,社会隔离,身体不活动,糖尿病和肥胖.
- 结果在ELSA队列中成功复制.
结论:
- 机器学习聚类是研究痴呆症决定因素和缺乏临床诊断的人口老龄化调查结果的可行方法.
- 这种方法提高了在大型纵向研究中识别和分析痴呆症的能力.
相关概念视频
Dementia
115
Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual....
The progression of dementia is generally gradual....
115
Cluster Sampling Method
11.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.9K
Sampling Plans
187
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
187
Alzheimer's Disease: Overview
494
Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
494


