Heart Failure Clinical Records with Mortality and Follow-Up Data

Clinical records of patients with heart failure detail 13 attributes including age, anaemia, ejection fraction, and follow-up period. The dataset is instrumental for analyzing factors leading to heart failure incidents and mortality. It is sourced from openml and published under a CC0-1.0 license.

Use Cases

• Predicting patient mortality based on clinical attributes like ejection fraction and serum creatinine.
• Identifying key risk factors for heart failure based on variables such as age, diabetes, and smoking status.
• Analyzing the impact of follow-up period on mortality outcomes for at-risk populations.
• Developing targeted healthcare interventions based on predictors like high blood pressure and platelet count.

Strengths

• Includes 13 distinct clinical and demographic attributes per patient record.
• Binary target variable for mortality event facilitates supervised learning tasks.
• Attribute descriptions provide clear definitions and measurement units.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.
• Data may reflect geographic or temporal bias inherent to its collection source.

Provenance

Source

openml

Collection Method

Clinical records collection, likely from medical studies.