Objective
Globally, cardiovascular diseases kill over 17 million people every year. When the heart can’t pump enough blood to meet the body’s needs, heart failure occurs. Modern hospitals can record patient medical data, symptoms, clinical-test values, body features, and hand it to analysts and scientists to surface patterns and correlations that would otherwise be invisible to doctors. By analysing those records, the survival of a patient can be predicted, or the effect of a disease on a patient can be studied. Stressful modern life, lower health consciousness and other factors have driven heart failures up. Knowing how to prepare for adverse effects and how patients can prolong their lives has become urgent.
Knowing what affects the survival of a patient who has been diagnosed with heart failure can significantly impact that patient’s life, allowing them to prepare and avoid things that worsen outcomes. With that motivation, the objective is to analyse the UCI heart-failure clinical records dataset (donated in 2020), find the significant features, and perform survival analysis using relevant techniques.