Search is not available for this dataset
id
int64
0
100k
age
int64
10.8k
23.7k
gender
int64
1
2
height
int64
55
250
weight
float64
10
200
ap_hi
int64
-150
16k
ap_lo
int64
-70
11k
cholesterol
int64
1
3
gluc
int64
1
3
smoke
int64
0
1
alco
int64
0
1
active
int64
0
1
cardio
int64
0
1
0
18,393
2
168
62
110
80
1
1
0
0
1
0
1
20,228
1
156
85
140
90
3
1
0
0
1
1
2
18,857
1
165
64
130
70
3
1
0
0
0
1
3
17,623
2
169
82
150
100
1
1
0
0
1
1
4
17,474
1
156
56
100
60
1
1
0
0
0
0
8
21,914
1
151
67
120
80
2
2
0
0
0
0
9
22,113
1
157
93
130
80
3
1
0
0
1
0
12
22,584
2
178
95
130
90
3
3
0
0
1
1
13
17,668
1
158
71
110
70
1
1
0
0
1
0
14
19,834
1
164
68
110
60
1
1
0
0
0
0
15
22,530
1
169
80
120
80
1
1
0
0
1
0
16
18,815
2
173
60
120
80
1
1
0
0
1
0
18
14,791
2
165
60
120
80
1
1
0
0
0
0
21
19,809
1
158
78
110
70
1
1
0
0
1
0
23
14,532
2
181
95
130
90
1
1
1
1
1
0
24
16,782
2
172
112
120
80
1
1
0
0
0
1
25
21,296
1
170
75
130
70
1
1
0
0
0
0
27
16,747
1
158
52
110
70
1
3
0
0
1
0
28
17,482
1
154
68
100
70
1
1
0
0
0
0
29
21,755
2
162
56
120
70
1
1
1
0
1
0
30
19,778
2
163
83
120
80
1
1
0
0
1
0
31
21,413
1
157
69
130
80
1
1
0
0
1
0
32
23,046
1
158
90
145
85
2
2
0
0
1
1
33
23,376
2
156
45
110
60
1
1
0
0
1
0
35
16,608
1
170
68
150
90
3
1
0
0
1
1
36
14,453
1
153
65
130
100
2
1
0
0
1
0
37
19,559
1
156
59
130
90
1
1
0
0
1
0
38
18,085
1
159
78
120
80
1
1
0
0
1
0
39
14,574
2
166
66
120
80
1
1
0
0
1
0
40
21,057
2
169
74
130
70
1
3
0
0
0
0
42
18,291
1
155
105
120
80
3
1
0
0
1
1
43
23,186
1
169
71
140
90
3
1
0
0
1
1
44
14,605
1
159
60
110
70
1
1
0
0
1
0
45
20,652
1
160
73
130
85
1
1
0
0
0
1
46
21,940
2
173
82
140
90
3
1
0
0
0
1
47
20,404
1
163
55
120
80
1
1
0
0
1
0
49
18,328
2
175
95
120
80
1
1
0
0
1
0
51
17,976
1
164
70
130
90
1
1
0
0
1
0
52
23,388
2
162
72
130
80
1
1
1
0
1
1
53
18,126
1
165
70
140
90
1
1
0
0
1
1
54
19,848
1
157
62
110
70
1
1
0
0
0
0
56
18,274
1
178
68
110
80
1
1
0
0
1
1
57
21,475
2
171
69
140
90
1
1
0
0
1
1
58
20,556
2
159
63
120
60
1
1
0
0
1
1
59
19,764
1
154
50
170
80
3
1
0
0
1
1
60
17,471
1
162
64
140
90
1
1
0
0
1
1
61
18,207
1
162
107
150
90
2
1
0
0
1
1
62
18,535
2
168
69
120
80
1
1
0
0
0
0
63
16,864
2
175
70
120
80
2
1
0
0
1
0
64
16,045
1
170
69
120
70
1
1
0
0
1
0
65
18,238
1
160
75
100
60
1
1
0
0
0
0
66
18,338
1
169
84
150
100
1
1
0
0
1
1
67
19,575
2
166
85
150
100
1
1
0
0
1
1
68
14,507
1
165
77
135
90
3
3
0
0
1
1
69
19,679
1
152
79
130
90
1
1
0
0
1
1
70
21,787
2
165
73
125
90
1
1
0
0
0
0
71
17,407
1
171
76
90
60
1
2
0
0
1
0
72
22,748
1
165
90
120
80
1
1
0
0
0
1
73
15,901
2
172
84
140
90
1
1
1
0
1
1
74
20,431
1
164
64
180
90
1
1
1
0
1
1
77
19,105
1
159
58
110
70
1
1
0
0
1
0
79
20,960
2
165
75
180
90
3
1
0
0
1
1
81
20,330
2
187
115
130
90
1
1
0
1
1
0
83
22,587
1
170
85
120
80
1
1
0
0
1
0
86
20,649
2
169
71
120
80
1
1
0
0
1
1
87
21,752
1
148
80
130
90
1
1
0
0
1
1
88
19,148
2
170
69
130
80
1
1
0
0
1
0
90
22,099
2
171
97
150
100
3
1
1
0
1
1
92
19,739
1
152
76
160
100
1
2
0
0
1
1
94
20,882
1
157
53
110
70
1
1
0
0
0
1
95
23,589
1
155
57
120
80
1
1
0
0
1
1
96
21,874
2
179
95
150
90
1
1
0
0
1
1
97
23,433
1
156
58
110
70
1
1
0
0
1
0
100
21,934
1
157
77
140
90
1
1
0
0
1
1
103
16,039
2
180
90
140
90
2
2
0
0
0
0
104
20,484
1
158
75
130
90
1
1
0
0
0
1
105
20,397
2
188
105
120
80
1
1
0
0
1
1
106
21,865
1
160
68
140
90
1
1
0
0
1
1
107
18,241
1
173
82
140
90
1
1
0
0
1
1
108
20,370
2
164
74
140
85
1
1
0
0
0
1
109
16,591
1
159
49
120
70
1
1
0
0
1
0
111
19,029
1
155
64
120
70
1
1
0
0
1
0
113
19,642
1
158
75
120
80
1
1
0
0
1
1
114
19,570
1
152
110
160
90
1
1
0
0
1
1
115
22,636
1
178
93
130
90
1
1
0
0
0
1
116
18,352
1
156
55
100
60
1
1
0
0
1
0
117
21,909
1
156
75
150
90
2
2
0
0
1
1
119
19,663
2
166
94
140
90
2
3
0
0
1
1
121
23,204
1
151
92
130
90
1
1
0
0
0
1
122
19,480
2
172
87
120
80
1
1
0
0
0
0
123
23,230
1
160
82
140
100
1
1
0
0
1
0
124
19,557
1
164
103
140
90
3
3
0
0
0
1
125
18,752
2
173
76
150
90
1
1
0
0
1
1
126
22,821
2
168
80
160
100
1
1
0
0
1
0
127
15,946
2
185
88
133
89
2
3
0
0
1
0
129
21,076
1
158
53
110
70
1
1
0
0
1
0
131
19,258
2
165
65
110
70
1
1
0
0
1
0
132
18,410
1
165
99
150
110
1
1
0
0
0
1
133
21,860
2
170
100
120
80
1
1
0
0
0
1
134
17,363
1
167
71
120
80
2
1
0
1
1
1

Age in Days, not years

Original Dataset from Kaggle(link here), only fixed CSV formatting

Dataset downloaded from here, and uploaded here, on HuggingFace.
Cardiovascular contains 70k samples(no duplicates!) which can be used to train an AI model to predict if a patient has heart disease or not.
You can find a somewhat trained model using the ANNA library here, it's not recommended for deployment though.
For more information on the dataset, view the original page here.

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