Subject group characteristics.

NIAID Data Ecosystem2026-03-07 收录

阿尔茨海默病遗传预测

认知障碍分级

数据链接：

https://figshare.com/articles/dataset/_Subject_group_characteristics_/675138 数据链接链接失效反馈

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资源简介：

Mean ± standard deviation. AD Alzheimer's disease, con converters, MMSE Mini Mental State Examination, noncon non-converters.

创建时间：

2013-04-04

Dataset for Inexpensive, Non-invasive Biomarkers Predict Alzheimer Transition using Machine Learning Analysis of the Alzheimer’s Disease Neuroimaging (ADNI) Database

阿尔茨海默病遗传预测

非侵入性生物标志物

Data supplementing the information found in "Inexpensive, Non-invasive Biomarkers Predict Alzheimer Transition using Machine Learning Analysis of the Alzheimer’s Disease Neuroimaging (ADNI) Database"

NIAID Data Ecosystem60

Additional file 1 of The impact of subthreshold levels of amyloid deposition on conversion to dementia in patients with amyloid-negative amnestic mild cognitive impairment

影像生物标志物

阿尔茨海默病遗传预测

Additional file 1: Table S1. The result of stepwise backward elimination. Figure S1. Flow chart for this study of ADNI dataset. The solid outline squares represent subjects that remained. The dash lin

NIAID Data Ecosystem40

Table_1_Neuroimaging Biomarkers Predicting the Efficacy of Multimodal Rehabilitative Intervention in the Alzheimer’s Dementia Continuum Pathology.docx

阿尔茨海默病遗传预测

影像生物标志物

In this work we aimed to identify neural predictors of the efficacy of multimodal rehabilitative interventions in AD-continuum patients in the attempt to identify ideal candidates to improve the treat

NIAID Data Ecosystem40

Combined models – Metric performance for SVM and RF in PD-MCI vs HC-MCI.

神经退行性疾病

认知障碍分级

Combined models – Metric performance for SVM and RF in PD-MCI vs HC-MCI.

Figshare2025-11-19 更新50

Predicting Progression of Alzheimer’s Disease Using Ordinal Regression

阿尔茨海默病遗传预测

神经影像回归分析

We propose a novel approach to predicting disease progression in Alzheimer’s disease (AD) – multivariate ordinal regression – which inherently models the ordered nature of brain atrophy spanning norma

Figshare2016-01-15 更新40

Subject group characteristics.

资源简介：

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