Heart Failure Clinical Records with Mortality Indicators

Clinical records of patients with heart failure include attributes such as age, anaemia, creatinine phosphokinase levels, diabetes status, ejection fraction, high blood pressure, platelet count, serum creatinine, serum sodium, gender, smoking habits, and follow-up time. The dataset is sourced from OpenML and is licensed under CC0-1.0. The last update date is unknown.

Use Cases

• Predicting death events based on clinical attributes like age, ejection fraction, and serum creatinine.
• Analyzing risk factor relationships for heart failure mortality using binary indicators for conditions like anaemia, diabetes, and high blood pressure.
• Modeling survival time based on the follow-up period and patient characteristics such as smoking status and platelet count.

Strengths

• Includes 13 distinct clinical and demographic features per patient record.
• Contains a binary target variable (DEATH_EVENT) for supervised learning tasks.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

OpenML

Collection Method

Clinical records collection, method unspecified.

Time Range

Temporal coverage is unspecified.

Freshness

Last update date is unknown.

Geography

Spatial coverage is unspecified.