{"cells":[{"metadata":{},"cell_type":"markdown","source":"
HEART FAILURE PREDICTION
"},{"metadata":{},"cell_type":"markdown","source":""},{"metadata":{},"cell_type":"markdown","source":"\nIn this notebook we evaluate several variables to determine how they may relate to whether a patient dies or survives a heart failure event. \n\nThe variables that are included in this data set are:\n* Age \n* Anemia \n* Creatinine Phosphokinase \n* Diabetes \n* Ejection Fraction \n* High Blood Pressure \n* Platelets \n* Serum Creatinine \n* Serum Sodium \n* Sex \n* Smoking \n* Time (Follow-up period (days))\n"},{"metadata":{},"cell_type":"markdown","source":"| \n | age | \nanaemia | \ncreatinine_phosphokinase | \ndiabetes | \nejection_fraction | \nhigh_blood_pressure | \nplatelets | \nserum_creatinine | \nserum_sodium | \nsex | \nsmoking | \ntime | \nDEATH_EVENT | \n
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n75.0 | \n0 | \n582 | \n0 | \n20 | \n1 | \n265000.00 | \n1.9 | \n130 | \n1 | \n0 | \n4 | \n1 | \n
| 1 | \n55.0 | \n0 | \n7861 | \n0 | \n38 | \n0 | \n263358.03 | \n1.1 | \n136 | \n1 | \n0 | \n6 | \n1 | \n
| 2 | \n65.0 | \n0 | \n146 | \n0 | \n20 | \n0 | \n162000.00 | \n1.3 | \n129 | \n1 | \n1 | \n7 | \n1 | \n
| 3 | \n50.0 | \n1 | \n111 | \n0 | \n20 | \n0 | \n210000.00 | \n1.9 | \n137 | \n1 | \n0 | \n7 | \n1 | \n
| 4 | \n65.0 | \n1 | \n160 | \n1 | \n20 | \n0 | \n327000.00 | \n2.7 | \n116 | \n0 | \n0 | \n8 | \n1 | \n
| \n | age | \nanemia | \ncreatinine_phosphokinase | \ndiabetes | \nejection_fraction | \nhigh_blood_pressure | \nplatelets | \nserum_creatinine | \nserum_sodium | \nsex | \nsmoking | \ntime | \nDEATH_EVENT | \n
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | \n299.000000 | \n299.000000 | \n299.000000 | \n299.000000 | \n299.000000 | \n299.000000 | \n299.000000 | \n299.00000 | \n299.000000 | \n299.000000 | \n299.00000 | \n299.000000 | \n299.00000 | \n
| mean | \n60.833893 | \n0.431438 | \n581.839465 | \n0.418060 | \n38.083612 | \n0.351171 | \n263358.029264 | \n1.39388 | \n136.625418 | \n0.648829 | \n0.32107 | \n130.260870 | \n0.32107 | \n
| std | \n11.894809 | \n0.496107 | \n970.287881 | \n0.494067 | \n11.834841 | \n0.478136 | \n97804.236869 | \n1.03451 | \n4.412477 | \n0.478136 | \n0.46767 | \n77.614208 | \n0.46767 | \n
| min | \n40.000000 | \n0.000000 | \n23.000000 | \n0.000000 | \n14.000000 | \n0.000000 | \n25100.000000 | \n0.50000 | \n113.000000 | \n0.000000 | \n0.00000 | \n4.000000 | \n0.00000 | \n
| 25% | \n51.000000 | \n0.000000 | \n116.500000 | \n0.000000 | \n30.000000 | \n0.000000 | \n212500.000000 | \n0.90000 | \n134.000000 | \n0.000000 | \n0.00000 | \n73.000000 | \n0.00000 | \n
| 50% | \n60.000000 | \n0.000000 | \n250.000000 | \n0.000000 | \n38.000000 | \n0.000000 | \n262000.000000 | \n1.10000 | \n137.000000 | \n1.000000 | \n0.00000 | \n115.000000 | \n0.00000 | \n
| 75% | \n70.000000 | \n1.000000 | \n582.000000 | \n1.000000 | \n45.000000 | \n1.000000 | \n303500.000000 | \n1.40000 | \n140.000000 | \n1.000000 | \n1.00000 | \n203.000000 | \n1.00000 | \n
| max | \n95.000000 | \n1.000000 | \n7861.000000 | \n1.000000 | \n80.000000 | \n1.000000 | \n850000.000000 | \n9.40000 | \n148.000000 | \n1.000000 | \n1.00000 | \n285.000000 | \n1.00000 | \n