marjorie
importedsoftware/marjorie
Marjorie is a web-based approach to visualize and explore patterns in type 1 diabetes data.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- jku-vds-lab
- Country
- unknown
- Homepage
- marjorie.jku-vds-lab.at/
- Repository
- github.com/jku-vds-lab/marjorie
- Documentation
- unknown
- Tags
- data-analysis · diabetes · pattern-recognition · visualization
- 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.
- LUPI-SVMpattern-recognition
SVM with Learning Using Privileged Information (LUPI) framework
- Metaboversepattern-recognition
Visualization and analysis platform for metabolic data and network pattern recognition
- neuropredictpattern-recognition
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
- pcprpattern-recognition
An R package implementing Principal Component Pursuit for pattern recognition in environmental health.
- medical-expense-analysisdata-analysis · diabetes
EDA on medical insurance data using Python and R to explore how age, BMI, smoking, and other factors influence claim amounts and health risk profiles.
- PimaIndiansDiabetsMachineLearningdata-analysis · diabetes
Machine learning
- api.github.com/repos/jku-vds-lab/marjorieretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-01-26, 4 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/12.json→ .entries["marjorie"]
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