API Access
Access dataset files directly from scripts, code, or AI agents.
Browse dataset files
API Access
Access dataset files directly from scripts, code, or AI agents.
Dataset Files
Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.
/daniellappv/glucose-matters-4/
β README.md
https://datahub.io/daniellappv/glucose-matters-4/_r/-/README.md
β config.json
https://datahub.io/daniellappv/glucose-matters-4/_r/-/config.json
β custom.css
https://datahub.io/daniellappv/glucose-matters-4/_r/-/custom.css
β diabetes.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/diabetes.csv
β diabetes.md
https://datahub.io/daniellappv/glucose-matters-4/_r/-/diabetes.md
https://datahub.io/daniellappv/glucose-matters-4/_r/-/glycemic-index-glycemic-load-foods.md
https://datahub.io/daniellappv/glucose-matters-4/_r/-/healthcare-dataset-stroke-data.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/high-gi-foods.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/high-gl-foods.csv
β low-gi-foods.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/low-gi-foods.csv
β low-gl-foods.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/low-gl-foods.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/medium-gi-foods.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/medium-gl-foods.csv
β overview-gi.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/overview-gi.csv
β overview-gl.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/overview-gl.csv
https://datahub.io/daniellappv/glucose-matters-4/_r/-/stroke-dataset.md
Key Files
Start with these files β they give you everything you need to understand and access the dataset.
README.mdβ documentation
https://datahub.io/daniellappv/glucose-matters-4/_r/-/README.md
Typical Usage
- 1. Download data resources listed in the metadata file
- 2. Read README.md for full context
Data Files
Explore with AIStroke prediction dataset
Download
Download CSVAbout
- Each row in the data provides relavant information about the patient.
- Last updated
- 5 January 2026
- Total rows
- ...
- Format
- CSV
- File size
- 317 kB
- Source
- Kaggle
About this dataset
Context
According to the World Health Organization (WHO) stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths.
Attribute Information
- id: unique identifier
- gender: "Male", "Female" or "Other"
- age: age of the patient
- hypertension: 0 if the patient doesn't have hypertension, 1 if the patient has hypertension
- heart_disease: 0 if the patient doesn't have any heart diseases, 1 if the patient has a heart disease
- ever_married: "No" or "Yes"
- work_type: "children", "Govt_jov", "Never_worked", "Private" or "Self-employed"
- Residence_type: "Rural" or "Urban"
- avg_glucose_level: average glucose level in blood
- bmi: body mass index
- smoking_status: "formerly smoked", "never smoked", "smokes" or "Unknown"*
- stroke: 1 if the patient had a stroke or 0 if not
Note"Unknown" in smoking_status means that the information is unavailable for this patient