Synthetic Cardiovascular Patient Data Simulating Hospital Registry Records

A synthetic dataset of 50.7 KB, created by Farozan Radjamin and last updated in May 2026. It simulates real-world hospital registry data, incorporating demographic characteristics, cardiovascular risk profiles, laboratory investigations, electrocardiographic findings, echocardiographic parameters, treatment interventions, hospitalization metrics, and outcome prediction variables.

Use Cases

• Training predictive models for cardiovascular outcomes based on risk profiles and treatment variables.
• Simulating patient trajectories for hospital resource planning based on hospitalization metrics.
• Benchmarking data imputation or synthesis methods using the multi-variable clinical parameters.
• Developing risk stratification algorithms based on demographic, laboratory, and echocardiographic features.

Strengths

• Synthetic nature likely facilitates privacy-preserving research without real patient data restrictions.
• Covers a multi-variable scope including demographics, diagnostics, treatments, and outcomes as described.
• Released under a permissive CC-BY-4.0 license for broad reuse.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale model training.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 50.7 KB, indicating limited scope and sample size.

Provenance

Source

figshare, author Farozan Radjamin.

Collection Method

Synthetically generated to simulate real-world hospital registry data.

Time Range

Synthetic; no real temporal coverage specified.

Freshness

Last updated 2026-05-20 04:34:15; freshness should be verified.

Geography

Synthetic; no real geographic coverage specified.