electricsheepafrica/africa-synth-cancer-cancer-surgery-outcomes-africa-comoros

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

Cancer Surgery Outcomes Africa

Abstract

This synthetic dataset represents cancer surgery outcomes across sub-Saharan Africa, capturing perioperative mortality, complications, and access barriers. The dataset contains 3,200-4,800 records per scenario with parameters grounded in GlobalSurg studies showing mortality rates of 2.5-6.5% for cancer surgery in LMICs.

1. Introduction

1.1 Problem Statement

Cancer surgery is a critical component of cancer treatment, yet surgical outcomes data from sub-Saharan Africa remains limited. Studies show mortality rates up to 3x higher than high-income countries due to late presentations, limited ICU capacity, and resource constraints.

1.2 Purpose

This dataset supports:

• Surgical outcomes research and quality improvement
• Health system capacity planning for cancer surgery
• Risk prediction modeling for perioperative care
• Policy development for surgical oncology services

2. Methodology

2.1 Target Population

• Geographic scope: Sub-Saharan Africa
• Population represented: Cancer patients requiring surgery
• Time period: 2018-2025

2.2 Key Parameters

• 30-day mortality: 2.5-6.5% (GlobalSurg data)
• Complication rate: 15-35%
• ICU availability: 20-45%
• Surgical site infection: 10-25%

2.3 Scenario Design

Scenario	Description	Records
low_burden	Low complication setting	3,200
moderate_burden	Standard setting	4,000
high_burden	High complication/resource-limited	4,800

3. Dataset Description

3.1 Key Variables

• patient_id, country, year
• age, sex, cancer_type, cancer_stage
• surgery_type, urgency, approach
• anesthesia_type, duration_minutes
• icu_required, icu_available, icu_admitted
• blood_loss_ml, transfusion
• complication_30day, complication_type
• mortality_30day, mortality_90day
• readmission_30day, reoperation

4. Data Sources

• GlobalSurg studies on surgical outcomes
• African Surgical Outcomes Study (ASOS)
• WHO surgical safety guidelines
• Peer-reviewed literature on cancer surgery in LMICs

5. Use Cases

• Perioperative risk prediction
• Surgical quality improvement initiatives
• Health system capacity assessment
• Research on surgical disparities

6. Citation

@dataset{cancer_surgery_outcomes_africa_2025,
  title={Cancer Surgery Outcomes Africa},
  author={Electric Sheep Africa},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/electricsheepafrica/cancer-surgery-outcomes-africa}
}

7. License

Creative Commons Attribution 4.0 (CC-BY-4.0)