MDS-ED
importeddata/mds-ed
Repository for the paper 'Enhancing Clinical Decision Support with Physiological Waveforms — A Multimodal Benchmark in Emergency Care'.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- AI4HealthUOL
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/AI4HealthUOL/MDS-ED
- Documentation
- unknown
- Tags
- benchmark · datasets · deep-learning · ecg · healthcare · medical-dataset · multimodal · waveforms
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- MIMIC-IV-Data-Pipelinemultimodal · waveforms
A customizable pipeline for multimodal data extraction from MIMIC-IV!
- Corrected-Skin-Image-Datasetsbenchmark · datasets
Data quality analysis of DermaMNIST (MedMNIST), HAM10000, and Fitzpatrick17k datasets
- meddatasets-pydatasets · healthcare
The meddatasets library contains clinical research datasets, cancer diagnostic records, chronic disease statistics, smoking and cancer risk data, worldwide COVID-19 case records, water pollution and…
- MultiCaRe_Datasethealthcare · multimodal
Open-source multimodal dataset: 98K+ clinical cases & 139K+ medical images from PubMed Central
- CardioLabecg · multimodal
This is the official repository for CardioLab. A machine and deep learning framework for the estimation and monitoring of laboratory abnormalities throught ECG data.
- accessibility-atlas-datasetdatasets
Disability demographics, web accessibility compliance, assistive technology usage, and related data
- api.github.com/repos/AI4HealthUOL/MDS-EDretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-04-30, 27 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/25.json→ .entries["mds-ed"]
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