Africa Synth Tuberculosis: Synthetic TB Screening Records for LMIC Health Facilities

30,000 synthetic patient records simulate TB screening in low- and middle-income country health facilities. Parameterized from published Sub-Saharan Africa literature, the dataset includes 25 variables such as demographics, HIV status, and symptom indicators. Created by electricsheepafrica, this synthetic resource is not suitable for empirical analysis or policy inference.

Use Cases

• Prototyping diagnostic algorithms based on synthetic symptom indicators and WHO screening criteria.
• Simulating patient pathways and screening outcomes based on demographic and clinical variables like HIV status and BMI.
• Testing data preprocessing pipelines for clinical tabular data containing a mix of categorical and continuous features.
• Benchmarking synthetic data generation methods against literature-derived parameters from Sub-Saharan Africa.

Strengths

• Contains 30,000 synthetic records, structured into 10,000 records per scenario.
• Includes 25 variables per record, covering demographics, HIV status, BMI, and 8 symptom indicators.

Limitations

• Data is synthetic and parameterized from literature, not real observations; unsuitable for empirical analysis.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for individual files is unknown, which may limit suitability assessment.

Provenance

Source

huggingface

Collection Method

Synthetically generated, parameterized from published Sub-Saharan Africa literature.

Freshness

Last updated 2026-04-14 22:39:54; freshness should be verified.

Geography

Low- and middle-income country health facilities, with literature focus on Sub-Saharan Africa.