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Datasets:
jason1966
/
algozee_heart-decices

Tags:
kaggle
healthcare
health
data visualization
data analytics
heart conditions
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id
int64
Age
int64
Sex
int64
Chest pain type
int64
BP
int64
Cholesterol
int64
FBS over 120
int64
EKG results
int64
Max HR
int64
Exercise angina
int64
ST depression
float64
Slope of ST
int64
Number of vessels fluro
int64
Thallium
int64
Heart Disease
string
0
58
1
4
152
239
0
0
158
1
3.6
2
2
7
Presence
1
52
1
1
125
325
0
2
171
0
0
1
0
3
Absence
2
56
0
2
160
188
0
2
151
0
0
1
0
3
Absence
3
44
0
3
134
229
0
2
150
0
1
2
0
3
Absence
4
58
1
4
140
234
0
2
125
1
3.8
2
3
3
Presence
5
38
1
4
138
283
0
0
147
1
1.6
2
2
7
Presence
6
59
1
4
130
246
0
2
152
0
0.8
2
2
3
Presence
7
60
0
3
120
245
0
0
151
0
1.2
1
0
3
Absence
8
48
0
4
140
212
0
2
125
0
0
1
0
3
Absence
9
44
0
4
150
197
0
0
150
0
0
2
0
3
Absence
10
41
1
2
120
212
0
0
173
0
0.6
2
0
3
Absence
11
52
0
2
140
234
0
0
160
0
0
1
0
3
Absence
12
41
0
3
108
230
0
2
142
0
0.6
2
1
3
Absence
13
44
1
3
110
263
0
2
161
0
0
1
0
3
Absence
14
42
1
4
108
244
0
0
150
1
1.6
2
0
7
Presence
15
53
1
1
120
231
0
0
160
0
0.2
2
0
7
Absence
16
50
1
2
160
274
0
2
163
0
1.8
2
0
3
Absence
17
56
1
4
160
282
0
2
162
1
1.6
2
2
3
Presence
18
65
0
4
140
197
0
0
161
0
2.2
2
1
3
Presence
19
46
0
3
178
199
0
0
169
0
0
1
0
3
Absence
20
62
1
4
110
197
0
0
172
0
2.2
2
3
3
Presence
21
65
1
3
120
226
0
0
145
1
0
2
0
3
Presence
22
57
0
3
124
204
0
2
166
0
0
1
0
3
Absence
23
52
1
3
94
185
0
0
172
0
0
1
0
3
Absence
24
48
1
2
130
282
0
2
96
1
0
1
0
7
Presence
25
42
1
3
138
177
1
0
160
0
0
1
0
3
Absence
26
54
1
3
120
250
0
0
163
0
0.3
1
0
3
Absence
27
66
1
4
110
234
0
2
122
0
0
1
0
7
Absence
28
56
1
4
140
177
1
2
150
1
0
2
0
7
Presence
29
56
1
4
112
211
0
2
150
0
1.4
2
1
7
Presence
30
57
1
4
120
282
0
0
132
0
0
2
0
7
Presence
31
53
1
4
140
303
0
0
168
0
0.6
2
2
7
Presence
32
42
1
2
128
201
0
2
131
0
1.5
1
0
7
Absence
33
51
1
4
140
282
0
2
140
1
1.4
1
0
7
Presence
34
55
0
2
130
266
1
0
152
1
0
1
0
3
Absence
35
43
1
4
118
256
0
0
152
0
0
1
0
7
Absence
36
59
1
4
140
263
0
2
143
0
1.8
2
1
3
Presence
37
57
1
4
120
177
0
2
161
1
0
1
0
7
Presence
38
71
1
4
100
229
0
2
154
0
0
1
1
7
Presence
39
48
1
4
105
219
0
2
105
0
2.8
2
2
7
Presence
40
63
0
4
120
222
1
0
160
1
3
2
2
7
Presence
41
56
1
3
120
204
0
0
140
0
0
1
0
3
Absence
42
60
1
4
172
204
0
0
159
0
0
1
0
3
Absence
43
61
0
4
160
249
0
0
159
0
0
1
0
3
Absence
44
57
1
2
130
212
0
2
132
1
0
2
0
3
Absence
45
42
1
2
150
212
0
2
170
0
0
1
0
3
Absence
46
35
0
3
130
263
0
0
147
0
0
2
1
7
Absence
47
58
0
3
120
235
0
0
149
0
1.2
2
0
3
Absence
48
54
1
3
130
226
0
2
145
1
0.9
1
0
3
Absence
49
50
1
2
150
219
0
2
163
1
2.8
2
0
3
Absence
50
49
1
1
128
188
0
0
147
0
0
1
0
3
Absence
51
50
1
4
128
303
0
2
166
0
3
3
1
7
Presence
52
42
1
4
140
177
0
2
142
0
1.1
2
1
7
Presence
53
57
1
4
110
197
0
2
143
0
0
1
1
7
Presence
54
55
1
3
140
229
0
2
158
0
1.2
2
0
3
Absence
55
54
1
4
130
295
0
2
139
0
1.8
2
1
7
Presence
56
47
0
2
125
258
0
2
178
0
0
1
0
3
Absence
57
51
0
3
105
245
0
2
173
0
0
1
0
3
Absence
58
58
1
4
128
271
0
0
163
1
1
2
0
7
Presence
59
49
0
4
120
304
1
2
150
0
1
2
0
7
Presence
60
56
1
4
112
277
0
0
174
1
2.8
2
2
6
Presence
61
65
1
4
118
282
0
2
165
1
1.2
2
0
7
Presence
62
41
1
4
140
226
0
2
147
1
1.2
2
1
7
Presence
63
57
1
4
140
246
0
2
142
1
1
2
0
7
Presence
64
58
1
2
130
250
0
0
163
0
0
1
0
3
Absence
65
41
1
2
110
245
0
0
181
1
0
1
0
3
Absence
66
56
1
2
130
211
0
2
158
0
1.4
1
0
3
Absence
67
67
0
3
140
203
0
2
178
0
1.8
1
0
3
Absence
68
54
0
3
108
249
0
0
178
0
0
1
0
3
Absence
69
63
1
4
180
228
0
2
131
1
3.2
2
0
7
Presence
70
64
0
3
120
211
0
0
162
0
0
1
0
7
Presence
71
57
0
1
130
269
0
2
148
0
0
1
0
3
Absence
72
54
1
3
112
226
0
0
156
0
1.2
2
1
3
Presence
73
64
1
3
145
244
0
0
178
1
0
1
1
7
Absence
74
46
1
4
160
250
1
2
155
1
1.2
2
1
7
Presence
75
67
1
2
140
208
0
0
175
0
1.9
2
1
3
Absence
76
45
1
1
140
226
0
0
168
0
0
1
0
3
Absence
77
59
1
3
150
211
0
2
140
0
1.4
2
0
3
Absence
78
60
1
4
130
254
0
2
125
0
4
2
0
7
Presence
79
40
1
3
112
212
1
0
182
0
0
1
0
3
Absence
80
63
1
4
112
250
0
2
120
0
2
2
0
7
Presence
81
62
1
4
108
268
0
0
140
0
1.6
1
2
7
Presence
82
52
1
4
125
263
0
2
174
0
1.6
3
0
3
Presence
83
44
1
2
130
274
0
2
162
0
1.6
2
0
7
Absence
84
40
0
3
130
204
0
0
151
0
0
1
0
3
Absence
85
54
1
1
130
201
0
0
162
0
0
1
0
3
Absence
86
35
0
4
130
211
0
2
163
0
0
1
0
3
Absence
87
59
1
4
110
269
0
0
147
1
1.3
1
0
7
Presence
88
67
1
4
125
206
0
0
147
1
0
2
0
7
Presence
89
58
0
2
138
219
0
2
171
0
2.2
2
0
3
Absence
90
50
0
3
140
197
0
2
170
0
0
1
0
3
Absence
91
56
1
3
130
299
0
0
182
0
0
1
0
3
Absence
92
60
1
4
140
245
0
2
162
0
0
1
1
7
Presence
93
43
1
2
130
221
0
0
182
0
0
1
0
3
Absence
94
51
1
3
118
254
0
2
154
0
0.6
1
0
7
Presence
95
46
0
4
120
295
0
2
126
1
2.6
1
0
7
Presence
96
60
1
3
120
201
0
2
161
0
0
2
1
3
Absence
97
53
1
2
140
228
0
2
146
1
0.3
2
1
7
Presence
98
50
0
3
132
231
0
0
155
0
0
1
0
3
Absence
99
51
1
3
160
219
0
0
158
0
1.4
2
0
7
Absence
End of preview.

Heart Disease Prediction Using Machine Learning

Predicting Heart Disease Presence Using Clinical and Diagnostic Features

Dataset Info

  • Source: Kaggle
  • Original Size: 9.60 MB
  • Kaggle Downloads: 2,929
  • Files: 2

Files

  • test.csv
  • train.csv

Mirrored from Kaggle
Downloads last month
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Total file size:
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