Data · dataset · 2023
Replication Data for: Spatial distributions of white matter hyperintensities on brain MRI: a pooled analysis of individual patient data from 11 memory clinic cohorts
Listed in IISH Dataverse
Data to replicate our work on the spatial distribution of white matter hyperintensities on brain MRI.
Description
This dataset contains two files: metavcimap_memory_clinic_n3525_mni_space.nii.gz WMH probability map, showing the spatial distribution of WMH in 3525 patients from 11 memory clinic cohorts. This file can be opened with a medical image viewer that supports the NIfTI data format. wmh_atypical_patterns_model.sav A scikit-learn Local Outlier Factor model trained on the 3525 patients in novelty-mode.
This model can be used to process your own data, with the code provided on GitHub. This file can be opened using the Python library skops (skops.readthedocs.io/). Supporting code is available on GitHub: github.com/Meta-VCI-Map/WMH_distribution_memory_clinic, as a Jupyter Notebook: github.com/Meta-VCI-Map/WMH_distribution_memory_clinic/blob/main/WMH_atypical_patterns.ipynb.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FFYL9ID ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/fyl9id ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FFYL9… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Image 75% · Magnetic resonance imaging 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/FYL9ID | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:mri | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |