The heart_failure_clinical_records_dataset.csv contains data on various factors such as age, ejection fraction, and serum creatinine that can be used to analyze and predict the likelihood of death events in patients with heart failure. Researchers can use this dataset to identify key risk factors and develop interventions to improve patient outcomes. (AI-generated)
age, anaemia, creatinine_phosphokinase, diabetes, ejection_fraction, high_blood_pressure, platelets, serum_creatinine, serum_sodium, sex, smoking, time, DEATH_EVENT