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bosaj/stroke-prediction-dataset

🩺 Healthcare Stroke Prediction Tabular Dataset 🤝 Engineering Team (2024): Oussama EL HADJI • Radia BAHAYA • Oualid GHAFFARI • Imane SADOG A curated clinical tabular dataset of 5,110 patient records designed for supervised classification of cerebrovascular events (strokes). Contains demographic attributes, lifestyle risk indicators, and physiological biomarkers. 👥 Project Engineering Team Oussama EL HADJI — Machine Learning Modeling &… See the full description on the dataset page: https://huggingface.co/datasets/bosaj/stroke-prediction-dataset.

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Dataset Card

🩺 Healthcare Stroke Prediction Tabular Dataset

🤝 Engineering Team (2024): Oussama EL HADJI • Radia BAHAYA • Oualid GHAFFARI • Imane SADOG

![Dataset Viewer](https://huggingface.co/datasets/bosaj/stroke-prediction-dataset) ![Live Demo Space](https://huggingface.co/spaces/bosaj/clinical-stroke-risk-predictor) ![GitHub](https://github.com/Bosaj/Stroke-Prediction-Project)

A curated clinical tabular dataset of 5,110 patient records designed for supervised classification of cerebrovascular events (strokes). Contains demographic attributes, lifestyle risk indicators, and physiological biomarkers.

👥 Project Engineering Team

—Oussama EL HADJI — Machine Learning Modeling & Architecture Lead (@bosaj)
—Radia BAHAYA — Preprocessing & Biomarker Analysis (@Radia1)
—Oualid GHAFFARI — Statistical Validation & Diagnostic Metrics (@oualidghaffari)
—Imane SADOG — SMOTE Oversampling & Class Balancing (GitHub @ImaneSDG)

📋 Data Schema & Field Dictionary

Column Name	Data Type	Permitted Values / Range	Description
`id`	`int64`	`1 – 72940`	Anonymized patient identifier
`gender`	`string`	`Male`, `Female`, `Other`	Biological gender
`age`	`float64`	`0.08 – 82.0`	Patient age in years
`hypertension`	`int64`	`0` (No), `1` (Yes)	Clinical diagnosis of arterial hypertension
`heart_disease`	`int64`	`0` (No), `1` (Yes)	Pre-existing diagnosed cardiac pathology
`ever_married`	`string`	`No`, `Yes`	Marital status history
`work_type`	`string`	`children`, `Govt_job`, `Never_worked`, `Private`, `Self-employed`	Primary occupation category
`Residence_type`	`string`	`Rural`, `Urban`	Residential environment classification
`avg_glucose_level`	`float64`	`55.12 – 271.74`	Mean blood serum glucose concentration (mg/dL)
`bmi`	`float64`	`10.3 – 97.6`	Body Mass Index ($kg/m^2$)
`smoking_status`	`string`	`formerly smoked`, `never smoked`, `smokes`, `Unknown`	Patient tobacco usage history
`stroke`	`int64`	`0` (No), `1` (Event)	Target variable: Cerebrovascular incident occurrence

📖 Citation

bibtex

@dataset{elhadji_bahaya_ghaffari_sadog_2024_dataset,
  author = {El Hadji, Oussama and Bahaya, Radia and Ghaffari, Oualid and Sadog, Imane},
  title = {Healthcare Stroke Prediction Clinical Tabular Dataset},
  year = {2024},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/bosaj/stroke-prediction-dataset}}
}