Severe and High-Risk Cardiothoracic Surgical Presentations in National University Heart Ce

January 2025 to May 2026 synthetic dataset representing complex cardiothoracic surgical cases managed at the National University Heart Centre. It was created by Farozan Radjamin for academic and research simulation, containing variables like patient demographics, risk scores, procedure details, and clinical outcomes. The dataset is 51.5 KB in size and is released under an MIT license.

Use Cases

• Developing machine learning models for surgical risk stratification based on EuroSCORE II and STS risk scores.
• Simulating educational cases for cardiothoracic surgery training based on perioperative characteristics and complications.
• Researching patterns in postoperative complications and mortality outcomes for major procedures like CABG and valve replacement.
• Studying resource utilization and clinical pathways based on ICU length of stay and mechanical circulatory support variables.

Strengths

• Synthetic nature ensures no identifiable patient information, facilitating open sharing for research.
• Covers a defined period from January 2025 to May 2026 for a specific clinical context.
• Includes a range of high-risk procedures and detailed clinical variables as described.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is synthetic and may not perfectly reflect real-world clinical distributions or complexities.

Provenance

Source

figshare, author Farozan Radjamin.

Collection Method

Synthetically generated for academic and research simulation purposes.

Time Range

January 2025 to May 2026

Freshness

Last updated 2026-05-20 12:05:58

Geography

National University Heart Centre (tertiary referral hospitals context).