Predictors of Hyperkalemia in Term Neonates with Birth Asphyxia

A 5.5 KB Excel file containing data for a multivariable analysis of predictors of hyperkalemia among term neonates admitted with birth asphyxia. The dataset was authored by Bahari Yusuf and last updated on June 4, 2026. The specific number of rows and columns is not provided in the metadata.

Use Cases

• Identify risk factors for hyperkalemia based on clinical variables associated with birth asphyxia.
• Train predictive models for neonatal hyperkalemia using multivariable analysis techniques.
• Conduct statistical analysis on the relationship between birth asphyxia and electrolyte imbalances in term neonates.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and initial exploration.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and sharing.

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.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Bahari Yusuf

Freshness

Last updated 2026-06-04 17:22:40; freshness should be verified.