---
language:
- en
license: cc-by-4.0
task_categories:
- tabular-classification
task_ids:
- tabular-multi-class-classification
- tabular-single-column-regression
tags:
- medical
- synthetic
- hypertension
- cardiovascular-disease
- cvd
- africa
- healthcare
- ncd
size_categories:
- 10K<n<100K
pretty_name: African Hypertension & CVD Synthetic Dataset
configs:
- config_name: default
  data_files:
  - split: train
    path: hypertension_cvd_africa_extra_large_10000.csv
  - split: validation
    path: hypertension_cvd_africa_large_5000.csv
  - split: test
    path: hypertension_cvd_africa_test_2000.csv
data_type: synthetic
---

> ⚠️ **Synthetic dataset** — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

# African Hypertension & Cardiovascular Disease Dataset
## Screening, Risk Stratification, and CVD Event Prediction

**Version:** 1.0  
**Release Date:** November 2024  
**Context:** Sub-Saharan Africa (25-35% adult HTN prevalence, 70-80% undiagnosed)  
**License:** Research & Educational Use

---

## Abstract

We present synthetic datasets for hypertension and cardiovascular disease modeling in Sub-Saharan Africa, addressing the leading cause of stroke and heart disease. With HTN prevalence of 25-35% (urban: 30-45%) and 70-80% undiagnosed, early screening is critical. The datasets incorporate risk factors with documented ORs: obesity BMI >30 (OR 3.50), age >60 (OR 4.20), family history (OR 2.80), high salt intake (OR 2.40), diabetes (OR 2.30), physical inactivity (OR 1.80). CVD event modeling includes stroke (OR 3.80 for HTN), MI (OR 2.50), and heart failure (OR 3.20). Five datasets (21,000 samples total, 5.8 MB) provide configurations for community screening, urban high-risk cohorts, and CVD event prediction. Models trained on these data are expected to achieve AUC-ROC >0.82 for HTN prediction and >0.80 for CVD risk, serving as proof-of-concept for primary care screening algorithms.

**Keywords:** Hypertension, CVD, Stroke, Myocardial Infarction, Blood Pressure, African Health, NCDs

---

## Key Features

### Risk Factors (ORs)
- Obesity (BMI >30): OR 3.50
- Age >60 years: OR 4.20
- Family history: OR 2.80
- High salt intake: OR 2.40
- Diabetes: OR 2.30
- Physical inactivity: OR 1.80
- Heavy alcohol: OR 2.10
- Urban residence: OR 1.95

### CVD Events
- Stroke: OR 3.80 (HTN vs normal)
- Myocardial infarction: OR 2.50
- Heart failure: OR 3.20

### African Context
- **70-80% undiagnosed**
- **5-15% controlled** among diagnosed
- **15-35% on medication**
- **Stage 2 HTN** (≥140/90): Most common presentation

---

## Dataset Inventory

| Dataset | N | HTN % | Diagnosed | CVD Events |
|---------|---|-------|-----------|------------|
| baseline_1000 | 1,000 | 82% | 28% | 112 |
| large_5000 | 5,000 | 81% | 25% | 514 |
| extra_large_10000 | 10,000 | 81% | 25% | 1,055 |
| urban_high_risk_2000 | 2,000 | 81% | 26% | 209 |
| test_2000 | 2,000 | 82% | 25% | 201 |

---

## Expected Performance
- HTN prediction: AUC 0.82-0.90
- CVD risk (10-year): AUC 0.80-0.88
- Stroke prediction: AUC 0.78-0.85

---

## Citation
```
African Hypertension & CVD Dataset (2024)
Version 1.0, Generated November 2024
Organization: Electric Sheep Africa
License: CC-BY-4.0
```

**Status:** Research Use Only  
**Contact:** https://huggingface.co/electricsheepafrica