Heart failure is a medical condition where the heart muscle is having difficulty to pump the blood to circulate around the body. This is a medical condition that has a higher chance of threatening the lives of patients if left untreated. One of the major concerns on heart failure conditions that are developed over time is that it is a chronic condition that does not have any cure. It can only be improved with medication but will never be recovered. Moreover, the mortality rate of patients having heart failure is high after a certain follow up period. However, early identification of the condition of a patient having heart failure can help to improve their condition before worsen or at least higher chances of avoiding sudden death due to heart failure
The dataset was obtained from UCI Machine Learning Repository https://archive.ics.uci.edu/ml/datasets/Heart+failure+clinical+records
| Attributes/Features | Measurement | Range |
|---|---|---|
| Age | Years | [40...95] |
| Anaemia | Text | 0,1 |
| Creatine Phosphokinase | mcg/L | [23...7861] |
| Diabetes | Boolean | 0,1 |
| Ejection Fraction | Percentage | [14...80] |
| High Blood Pressure | Boolean | P0,1 |
| Platelets | kiloplatelets/mL | [25100...850000] |
| Serum Creatinine | mg/dL | [0.5...9.4] |
| Serum Sodium | mEq/L | [113...148] |
| Sex | Binary | 0,1 |
| Smoking | Boolean | 0,1 |
| Time | Days | [4...285] |
| Death Event | Boolean | 0,1 |
NOTE: mcg/L: micrograms per liter. mL: microliter. mEq/L: milliequivalents per litre