ADMC dataset

该数据集是一个专为阿尔茨海默病分类构建的私有数据集，包含了来自100名受试者的脑电图(EEG)、磁共振成像(MRI)以及量表数据。数据集中还包含了人口统计学细节：平均年龄为72.4岁，年龄范围从56岁至93岁，其中女性56名，已婚人士22名。该数据集被划分为80个样本用于训练，以及20个样本用于评估。规模上，共有100名受试者参与，任务是对阿尔茨海默病、轻度认知障碍和正常认知进行分类。This is a private dataset specifically developed for Alzheimer's disease classification. It includes electroencephalogram (EEG), magnetic resonance imaging (MRI), and scale data from 100 subjects. The dataset also provides demographic details: the average age of the cohort is 72.4 years, with an age range spanning from 56 to 93 years; there are 56 female participants and 22 married individuals among all subjects. It is split into 80 training samples and 20 evaluation samples. The task of this dataset is to classify three conditions: Alzheimer's disease, mild cognitive impairment, and normal cognition.

搜集汇总

背景与挑战

背景概述

ADMC数据集是一个多模态数据集，包含100名受试者的EEG、MRI和表格数据，用于阿尔茨海默病的早期检测研究。数据集提供了详细的临床评分和神经影像数据，适用于多模态机器学习方法的开发和评估。