africa-synth-hypertension-hypertension-cvd-dataset-all

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