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age float64 | anaemia int64 | creatinine_phosphokinase int64 | diabetes int64 | ejection_fraction int64 | high_blood_pressure int64 | platelets float64 | serum_creatinine float64 | serum_sodium int64 | sex int64 | smoking int64 | time int64 | DEATH_EVENT int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
55 | 0 | 748 | 0 | 45 | 0 | 263,358.03 | 1.3 | 137 | 1 | 1 | 88 | 0 |
65 | 0 | 56 | 0 | 25 | 0 | 305,000 | 5 | 130 | 1 | 0 | 207 | 0 |
45 | 0 | 582 | 1 | 38 | 0 | 319,000 | 0.9 | 140 | 0 | 0 | 244 | 0 |
60 | 1 | 754 | 1 | 40 | 1 | 328,000 | 1.2 | 126 | 1 | 0 | 90 | 0 |
95 | 1 | 582 | 0 | 30 | 0 | 461,000 | 2 | 132 | 1 | 0 | 50 | 1 |
70 | 0 | 232 | 1 | 30 | 0 | 302,000 | 1.2 | 132 | 1 | 0 | 210 | 0 |
63 | 1 | 122 | 1 | 60 | 0 | 172,000 | 1.2 | 145 | 0 | 0 | 147 | 0 |
70 | 1 | 171 | 0 | 50 | 1 | 358,000 | 0.9 | 141 | 0 | 0 | 196 | 0 |
50 | 0 | 482 | 1 | 30 | 0 | 300,000 | 0.9 | 132 | 1 | 0 | 109 | 0 |
53 | 1 | 446 | 0 | 45 | 1 | 274,000 | 1 | 133 | 1 | 0 | 215 | 0 |
60.667 | 1 | 151 | 1 | 40 | 1 | 257,000 | 1 | 136 | 0 | 0 | 172 | 0 |
72 | 1 | 110 | 0 | 25 | 0 | 237,000 | 1 | 140 | 0 | 0 | 65 | 1 |
70 | 0 | 2,695 | 0 | 40 | 0 | 277,000 | 1 | 137 | 1 | 1 | 247 | 0 |
64 | 0 | 1,610 | 0 | 60 | 0 | 263,358.03 | 1 | 137 | 1 | 1 | 113 | 0 |
65 | 0 | 335 | 0 | 35 | 1 | 235,000 | 0.8 | 136 | 0 | 0 | 120 | 0 |
60 | 1 | 34 | 0 | 20 | 0 | 204,000 | 0.7 | 139 | 1 | 1 | 73 | 1 |
75 | 0 | 99 | 1 | 20 | 1 | 70,000 | 2.3 | 134 | 1 | 0 | 162 | 1 |
66 | 1 | 68 | 1 | 38 | 1 | 303,000 | 1 | 136 | 1 | 0 | 95 | 0 |
72 | 1 | 110 | 0 | 25 | 0 | 237,000 | 1 | 140 | 0 | 0 | 65 | 1 |
60 | 1 | 47 | 1 | 20 | 0 | 336,000 | 0.7 | 139 | 1 | 0 | 73 | 1 |
63 | 1 | 103 | 1 | 35 | 0 | 287,000 | 0.9 | 136 | 1 | 1 | 270 | 0 |
58 | 1 | 200 | 0 | 40 | 0 | 164,000 | 1 | 139 | 0 | 0 | 91 | 0 |
50 | 1 | 111 | 0 | 20 | 0 | 266,000 | 1.9 | 137 | 1 | 1 | 7 | 1 |
70 | 1 | 67 | 0 | 35 | 0 | 223,000 | 2.7 | 138 | 1 | 1 | 54 | 0 |
42 | 1 | 86 | 0 | 35 | 0 | 237,000 | 1.1 | 139 | 0 | 0 | 201 | 0 |
53 | 1 | 1,807 | 0 | 38 | 0 | 330,000 | 1.4 | 137 | 1 | 1 | 209 | 0 |
63 | 1 | 1,764 | 0 | 45 | 0 | 73,000 | 0.7 | 137 | 1 | 0 | 186 | 0 |
42 | 0 | 64 | 0 | 40 | 0 | 279,000 | 0.7 | 140 | 1 | 1 | 245 | 0 |
70 | 0 | 582 | 0 | 50 | 1 | 358,000 | 0.9 | 141 | 0 | 0 | 196 | 0 |
69 | 0 | 582 | 1 | 35 | 0 | 226,000 | 3.5 | 134 | 1 | 0 | 30 | 1 |
68 | 1 | 220 | 0 | 35 | 1 | 365,000 | 1.1 | 139 | 1 | 1 | 20 | 0 |
68 | 1 | 221 | 0 | 35 | 1 | 289,000 | 0.9 | 140 | 1 | 1 | 20 | 1 |
50 | 0 | 482 | 0 | 40 | 0 | 448,000 | 0.9 | 137 | 1 | 1 | 109 | 0 |
45 | 0 | 308 | 0 | 40 | 1 | 51,000 | 1.3 | 136 | 1 | 1 | 186 | 0 |
50 | 1 | 249 | 1 | 50 | 1 | 328,000 | 1 | 128 | 1 | 0 | 28 | 1 |
72 | 0 | 211 | 1 | 25 | 0 | 318,000 | 1.2 | 134 | 0 | 0 | 207 | 0 |
65 | 1 | 59 | 1 | 60 | 0 | 267,000 | 0.9 | 137 | 1 | 0 | 107 | 0 |
49 | 0 | 91 | 0 | 30 | 1 | 427,000 | 1 | 138 | 0 | 0 | 12 | 0 |
60 | 0 | 582 | 0 | 40 | 0 | 242,000 | 3.7 | 134 | 1 | 0 | 96 | 1 |
95 | 1 | 371 | 0 | 30 | 0 | 427,000 | 2 | 132 | 0 | 0 | 50 | 1 |
75 | 1 | 246 | 1 | 15 | 0 | 127,000 | 1.2 | 137 | 1 | 0 | 10 | 1 |
70 | 0 | 582 | 0 | 40 | 0 | 621,000 | 2.7 | 136 | 0 | 1 | 250 | 0 |
50 | 1 | 205 | 0 | 45 | 1 | 184,000 | 0.9 | 134 | 1 | 1 | 118 | 0 |
50 | 1 | 245 | 1 | 30 | 0 | 302,000 | 1.2 | 138 | 0 | 0 | 29 | 0 |
51 | 0 | 582 | 0 | 40 | 0 | 210,000 | 0.9 | 134 | 1 | 0 | 244 | 0 |
65 | 1 | 135 | 1 | 35 | 1 | 297,000 | 0.8 | 134 | 1 | 0 | 194 | 0 |
65 | 1 | 305 | 1 | 25 | 0 | 254,000 | 1.1 | 141 | 1 | 0 | 87 | 0 |
63 | 1 | 757 | 0 | 45 | 0 | 73,000 | 0.7 | 137 | 1 | 0 | 186 | 0 |
70 | 0 | 196 | 0 | 30 | 0 | 173,000 | 1.2 | 132 | 1 | 0 | 210 | 0 |
53 | 0 | 82 | 1 | 60 | 0 | 368,000 | 0.8 | 135 | 1 | 0 | 22 | 0 |
44 | 0 | 84 | 0 | 40 | 1 | 237,000 | 0.7 | 139 | 0 | 0 | 79 | 0 |
45 | 0 | 308 | 0 | 40 | 1 | 51,000 | 1.3 | 136 | 1 | 1 | 186 | 0 |
58 | 0 | 582 | 0 | 40 | 0 | 105,000 | 1 | 138 | 1 | 1 | 205 | 0 |
45 | 0 | 582 | 1 | 35 | 0 | 263,358.03 | 1.1 | 142 | 0 | 0 | 256 | 0 |
42 | 0 | 102 | 0 | 25 | 0 | 274,000 | 1.2 | 142 | 0 | 0 | 74 | 0 |
45 | 0 | 582 | 0 | 45 | 0 | 324,000 | 0.9 | 140 | 0 | 0 | 244 | 0 |
45 | 0 | 615 | 1 | 55 | 0 | 236,000 | 0.8 | 141 | 0 | 0 | 257 | 0 |
58 | 0 | 144 | 1 | 38 | 1 | 297,000 | 0.7 | 142 | 0 | 0 | 83 | 0 |
60 | 0 | 582 | 0 | 40 | 0 | 242,000 | 3.7 | 134 | 1 | 0 | 96 | 1 |
63 | 1 | 106 | 1 | 35 | 0 | 179,000 | 0.9 | 136 | 1 | 1 | 270 | 0 |
59 | 0 | 66 | 1 | 20 | 0 | 742,000 | 2.4 | 134 | 1 | 0 | 135 | 1 |
90 | 1 | 60 | 0 | 38 | 0 | 390,000 | 0.9 | 144 | 0 | 0 | 256 | 0 |
58 | 1 | 200 | 1 | 60 | 0 | 283,000 | 0.8 | 137 | 1 | 1 | 104 | 0 |
50 | 1 | 121 | 1 | 45 | 1 | 185,000 | 1.2 | 139 | 1 | 1 | 33 | 1 |
50 | 1 | 167 | 1 | 45 | 0 | 297,000 | 1 | 136 | 1 | 0 | 187 | 0 |
60 | 0 | 582 | 0 | 40 | 0 | 242,000 | 3.7 | 134 | 1 | 0 | 96 | 1 |
60.667 | 1 | 151 | 1 | 40 | 1 | 297,000 | 1 | 136 | 0 | 0 | 172 | 0 |
70 | 0 | 582 | 1 | 38 | 0 | 25,100 | 1.1 | 140 | 1 | 1 | 246 | 0 |
63 | 1 | 1,767 | 0 | 35 | 0 | 255,000 | 0.8 | 134 | 1 | 0 | 186 | 0 |
61 | 0 | 248 | 1 | 25 | 1 | 194,000 | 1.7 | 140 | 1 | 0 | 120 | 0 |
60 | 0 | 2,656 | 1 | 38 | 0 | 329,000 | 3 | 142 | 0 | 0 | 30 | 1 |
66 | 1 | 68 | 1 | 38 | 1 | 25,100 | 1 | 136 | 1 | 0 | 95 | 0 |
58 | 0 | 154 | 1 | 38 | 1 | 253,000 | 1 | 139 | 1 | 0 | 230 | 0 |
65 | 1 | 59 | 1 | 60 | 0 | 208,000 | 0.9 | 137 | 0 | 0 | 107 | 0 |
50 | 1 | 121 | 1 | 40 | 0 | 208,000 | 0.7 | 130 | 0 | 0 | 175 | 0 |
46 | 0 | 719 | 0 | 30 | 1 | 211,000 | 0.8 | 138 | 1 | 0 | 108 | 0 |
55 | 1 | 582 | 1 | 35 | 0 | 371,000 | 0.7 | 140 | 0 | 0 | 197 | 0 |
65 | 1 | 160 | 1 | 40 | 0 | 257,000 | 1 | 136 | 0 | 0 | 210 | 0 |
45 | 1 | 66 | 1 | 35 | 0 | 226,000 | 0.9 | 138 | 1 | 0 | 230 | 0 |
80 | 1 | 653 | 0 | 20 | 1 | 140,000 | 4.4 | 133 | 1 | 0 | 41 | 1 |
95 | 1 | 281 | 0 | 40 | 1 | 196,000 | 1 | 138 | 0 | 0 | 24 | 1 |
45 | 0 | 615 | 1 | 55 | 0 | 236,000 | 0.8 | 141 | 0 | 0 | 257 | 0 |
58 | 1 | 60 | 0 | 40 | 0 | 164,000 | 1 | 139 | 0 | 0 | 91 | 0 |
70 | 0 | 292 | 0 | 40 | 0 | 51,000 | 2.7 | 136 | 1 | 1 | 250 | 0 |
50 | 1 | 168 | 1 | 38 | 1 | 122,000 | 1.1 | 137 | 1 | 0 | 11 | 1 |
45 | 0 | 7,702 | 0 | 40 | 1 | 164,000 | 1 | 139 | 0 | 0 | 60 | 1 |
60 | 0 | 582 | 0 | 30 | 1 | 127,000 | 0.9 | 145 | 0 | 0 | 95 | 0 |
65 | 0 | 118 | 0 | 35 | 0 | 365,000 | 1.1 | 139 | 1 | 1 | 200 | 0 |
60.667 | 1 | 104 | 1 | 30 | 0 | 382,000 | 1.5 | 136 | 1 | 0 | 171 | 1 |
45 | 0 | 7,702 | 1 | 50 | 1 | 188,000 | 1 | 140 | 1 | 0 | 25 | 1 |
45 | 0 | 582 | 0 | 45 | 0 | 324,000 | 0.9 | 140 | 0 | 0 | 244 | 0 |
69 | 0 | 582 | 1 | 35 | 0 | 226,000 | 3.5 | 134 | 1 | 0 | 30 | 1 |
60 | 0 | 897 | 1 | 40 | 0 | 270,000 | 1 | 133 | 0 | 0 | 80 | 0 |
45 | 0 | 582 | 1 | 55 | 0 | 236,000 | 0.8 | 141 | 0 | 0 | 186 | 0 |
56 | 1 | 145 | 1 | 38 | 0 | 133,000 | 1.7 | 140 | 1 | 0 | 244 | 0 |
70 | 1 | 59 | 1 | 50 | 1 | 351,000 | 1 | 134 | 0 | 0 | 44 | 1 |
50 | 0 | 318 | 0 | 40 | 1 | 286,000 | 2.3 | 131 | 0 | 0 | 60 | 1 |
65 | 1 | 82 | 1 | 60 | 1 | 203,000 | 0.9 | 140 | 0 | 0 | 94 | 0 |
41 | 0 | 148 | 0 | 40 | 0 | 481,000 | 0.8 | 140 | 1 | 1 | 68 | 0 |
63 | 0 | 936 | 0 | 25 | 0 | 304,000 | 1.1 | 133 | 1 | 1 | 88 | 0 |
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Heart Failure Prediction - Clinical Records 🏥
Predict the patient will survive or not
Dataset Info
- Source: Kaggle
- Original Size: 0.03 MB
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heart_failure_clinical_records.csv
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