ADNI Study: 564 MCI Patient Records with MRI, Cognitive, and Biomarker Features

564 participants from the ADNI study who transitioned from mild cognitive impairment to Alzheimer's disease were analyzed. The dataset includes 330 features from quantitative MRI, cognitive assessments, cerebrospinal fluid biomarkers, and APOE 4 status, used to build Cox survival models. The data was published by Diana Sofia Rosales-Gurmendi on figshare and last updated on 2026-04-30.

Use Cases

• Training survival analysis models based on the 330 combined MRI, cognitive, and biomarker features.
• Evaluating feature importance for AD prediction based on cognitive scores, CSF, and qMRI biomarkers mentioned in the study.
• Benchmarking subset selection methods for high-dimensional medical data based on the described 330-feature set.

Strengths

• Includes 564 patient records with confirmed progression from MCI to AD.
• Combines 330 features from four distinct data sources: qMRI, cognitive tests, CSF biomarkers, and APOE 4 status.
• Associated research reports a top model achieving 81% precision and 87% specificity.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

Alzheimer's Disease Neuroimaging Initiative (ADNI) study.

Collection Method

Clinical study data analysis, likely involving participant screening and longitudinal tracking.

Freshness

Last updated 2026-04-30 17:37:17; freshness should be verified.