CTG Data: Cardiotocography Dataset with Ordinal and Continuous Outcomes

A dataset of 2,126 cardiotocography records used in a statistical modeling study. It includes ordinal fetal health and continuous ASTV outcomes alongside 21 clinical predictors. The dataset was uploaded by Huma Rani on figshare in May 2026.

Use Cases

• Developing elastic net regularized regression models based on the 21 clinical predictors.
• Evaluating Gaussian copula models for mixed ordinal and continuous outcomes.
• Identifying key predictors for fetal health based on features like prolonged decelerations and accelerations.

Strengths

• Contains 2,126 records, providing a substantial sample for analysis.
• Includes 21 clinical predictors alongside two distinct outcome types (ordinal and continuous).
• The associated study demonstrated a 37.5% reduction in non-zero coefficients via elastic net regularization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but the specific clinical predictor names and data distributions are not detailed.
• Data may reflect bias inherent to its original clinical collection context.

Provenance

Source

figshare, uploaded by Huma Rani.

Collection Method

Likely collected from clinical cardiotocography examinations.

Freshness

Last updated 2026-05-03 19:24:12.