Patient Characteristics for cGAN Framework Training and Validation

Patient characteristics data used for training, internal, and independent validation of a conditional Generative Adversarial Network (cGAN) framework. The dataset is 5.5 KB in size, authored by Changhwan Sung, and last updated on May 14, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Training generative models for synthetic patient data based on real patient characteristics.
• Conducting internal validation of a cGAN framework's performance on patient data.
• Performing independent validation to assess the generalizability of a trained cGAN model.
• Analyzing patient cohort characteristics used in machine learning model development.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and initial exploration.
• Explicitly structured for training, internal, and independent validation, clarifying its intended use in a model pipeline.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Freshness

Last updated 2026-05-14 17:50:22; freshness should be verified.