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Datasets:
electricsheepafrica
/
stroke-emergency-care

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
emergency-medicine
stroke
neurology
thrombolysis
cerebrovascular
Synthetic
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
Community
Dataset Viewer
Auto-converted to Parquet Duplicate
id
int64
age
int64
sex
string
hypertension
int64
diabetes
int64
atrial_fibrillation
int64
smoking
int64
hiv_positive
int64
prior_stroke
int64
alcohol_heavy
int64
sickle_cell
int64
stroke_type
string
onset_to_arrival_hrs
float64
arrived_within_4_5hrs
int64
arrived_by_ems
int64
wake_up_stroke
int64
nihss_score
int64
gcs
int64
systolic_bp
int64
blood_glucose
float64
ct_scan_done
int64
ct_within_1hr
int64
stroke_type_confirmed
int64
ecg_done
int64
echo_done
int64
labs_complete
int64
thrombolysis_given
int64
thrombectomy_done
int64
aspirin_given
int64
antihypertensive_given
int64
statin_given
int64
dvt_prophylaxis
int64
dysphagia_screening
int64
ngt_feeding
int64
stroke_unit_admitted
int64
neurologist_consulted
int64
surgical_evacuation
int64
aspiration_pneumonia
int64
dvt_pe
int64
hemorrhagic_transformation
int64
seizure
int64
raised_icp
int64
died_in_hospital
int64
mrs_discharge
int64
rehabilitation_received
int64
los_days
int64
year
int64
1
62
male
0
0
0
0
0
0
1
0
ischemic
24.2
0
0
0
16
15
181
4.8
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
0
0
4
0
13
2,020
2
46
male
1
0
0
0
0
0
0
0
ischemic
26.3
0
0
1
12
8
188
3.9
0
0
0
0
0
1
0
0
0
1
1
0
0
0
0
0
0
1
0
0
0
0
0
6
0
4
2,020
3
59
female
1
0
0
0
0
0
1
0
hemorrhagic
18.6
0
0
0
16
10
189
6.7
1
0
1
0
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1
6
0
0
2,023
4
69
male
1
0
0
0
0
0
0
0
hemorrhagic
9.7
0
0
0
13
12
195
8.1
1
0
1
1
0
0
0
0
0
1
0
1
0
0
0
0
0
1
0
0
0
0
1
6
0
0
2,023
5
44
male
1
0
0
0
1
0
0
0
hemorrhagic
2.7
1
0
0
14
8
173
10.4
0
0
0
1
1
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
3
1
3
2,023
6
60
female
0
0
0
0
0
0
0
0
hemorrhagic
14.2
0
0
0
38
6
164
6
0
0
0
0
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
5
0
5
2,022
7
39
male
1
0
0
0
0
0
0
0
hemorrhagic
9.8
0
0
0
5
15
176
19.2
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
4
0
13
2,022
8
33
male
1
0
0
0
0
1
0
0
hemorrhagic
4.9
0
0
0
16
14
165
4
1
1
1
1
1
0
0
0
0
1
1
0
0
0
0
0
0
1
0
0
0
1
1
6
0
0
2,021
9
47
male
1
1
0
1
0
1
0
0
hemorrhagic
7.9
0
0
0
9
15
162
7.4
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
3
0
9
2,021
10
74
female
0
0
0
0
0
0
0
0
hemorrhagic
10.1
0
0
1
42
15
122
6.8
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,023
11
80
female
0
1
0
1
0
0
0
0
ischemic
14.8
0
0
0
6
14
165
8.2
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
5
0
7
2,021
12
35
male
1
0
0
0
0
1
0
0
ischemic
18.1
0
0
0
7
10
192
7.7
1
0
1
1
0
1
0
0
0
1
1
0
0
0
0
0
0
1
0
0
0
0
0
5
0
6
2,020
13
56
female
1
0
0
0
0
0
0
0
hemorrhagic
17.1
0
0
1
10
8
197
5.5
1
0
1
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
0
0
0
1
6
0
0
2,022
14
62
male
1
1
0
0
0
0
0
0
ischemic
2.9
1
0
0
8
12
228
10.9
0
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
4
0
9
2,023
15
67
female
1
0
0
1
0
0
1
0
hemorrhagic
41
0
0
0
4
14
153
18.4
0
0
0
1
0
0
0
0
0
1
0
1
1
0
0
0
0
0
0
0
0
0
0
6
0
4
2,023
16
55
male
1
1
0
0
0
0
0
0
ischemic
2.9
1
0
0
26
12
146
3.6
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
6
0
4
2,021
17
62
female
1
0
0
1
0
0
0
0
ischemic
15.2
0
0
0
4
10
207
6.3
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
0
5
2,023
18
61
female
1
0
0
0
0
0
0
0
ischemic
19.5
0
0
0
4
8
145
4.2
0
0
0
1
0
0
0
0
1
1
0
1
0
0
0
0
0
0
0
0
0
0
0
3
0
5
2,020
19
55
male
1
0
0
0
0
0
0
0
hemorrhagic
2.5
1
0
0
42
15
220
4.5
1
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,022
20
48
male
1
1
0
0
0
0
0
0
ischemic
37
0
0
0
8
8
155
9.6
1
0
1
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
0
1
0
1
6
0
0
2,021
21
72
female
1
0
0
0
1
1
0
1
ischemic
4
1
0
0
9
6
167
11
1
0
1
0
0
0
0
0
1
1
1
1
1
0
0
1
0
0
0
0
0
0
1
6
0
0
2,019
22
26
male
1
0
0
1
0
0
0
0
hemorrhagic
12.1
0
0
0
42
3
204
4.8
1
0
1
0
0
0
0
0
0
1
1
1
1
0
1
0
0
0
0
0
0
0
1
6
0
0
2,023
23
76
male
1
0
0
0
0
1
1
0
hemorrhagic
12.1
0
0
0
10
10
165
5.2
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
5
0
5
2,022
24
55
female
1
0
0
0
0
0
1
0
ischemic
43.8
0
0
0
5
12
114
7.1
1
0
1
0
0
0
0
0
1
0
0
0
1
0
0
0
0
0
1
0
0
0
0
5
0
7
2,021
25
95
female
1
0
0
0
0
0
0
0
ischemic
17.6
0
0
0
6
15
168
7.2
1
0
1
1
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
6
0
3
2,019
26
62
male
1
1
0
0
0
0
0
0
hemorrhagic
6.5
0
0
0
4
12
173
6.6
1
0
1
1
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
4
0
2
2,020
27
45
female
0
0
0
0
0
0
1
0
hemorrhagic
34.2
0
0
1
18
15
167
10.2
1
0
1
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,021
28
51
female
0
0
0
0
0
0
1
0
ischemic
6.2
0
0
1
9
10
176
9
1
0
1
0
0
0
0
0
0
1
1
0
0
1
0
0
0
0
0
0
0
0
0
4
0
20
2,022
29
56
female
0
0
0
0
0
0
0
0
ischemic
16.3
0
0
0
20
15
132
12.5
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,022
30
72
female
1
0
1
0
0
0
0
0
hemorrhagic
5.1
0
0
0
12
14
144
5.6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
0
13
2,020
31
57
male
0
0
0
0
0
0
0
0
ischemic
39.3
0
0
0
32
15
165
8.3
1
0
1
0
1
0
0
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
4
0
10
2,019
32
65
male
0
0
0
0
0
0
0
0
hemorrhagic
13.2
0
0
1
9
12
140
8.4
1
0
1
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
3
0
6
2,023
33
82
male
1
1
0
1
0
0
0
0
ischemic
28.5
0
0
0
19
14
170
12.6
0
0
0
1
0
0
0
0
0
1
1
0
0
0
1
1
0
0
0
0
0
0
0
5
0
4
2,021
34
63
female
1
0
0
1
1
0
0
0
ischemic
10.6
0
0
0
10
15
228
15.3
1
0
1
1
1
1
0
0
1
1
0
0
1
0
0
0
0
0
0
0
0
0
0
6
0
1
2,019
35
32
female
1
0
0
0
0
0
1
0
ischemic
7.1
0
0
0
8
3
134
7.2
1
0
1
1
0
1
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
4
0
4
2,021
36
68
male
1
1
0
0
0
0
0
0
hemorrhagic
21.8
0
0
0
35
3
158
8.1
0
0
0
1
1
0
0
0
0
1
1
0
0
0
0
1
0
0
0
0
0
0
1
6
0
0
2,020
37
52
male
1
0
0
0
0
0
0
0
ischemic
20.9
0
0
0
2
10
206
3
0
0
0
1
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
0
1
0
0
4
0
6
2,020
38
31
male
0
0
0
0
0
0
0
0
ischemic
17.6
0
1
0
5
3
179
5.2
1
0
1
1
0
0
0
0
1
0
1
0
0
0
0
0
0
1
0
0
0
0
0
3
0
15
2,023
39
71
female
0
0
0
1
0
0
0
0
hemorrhagic
36.2
0
0
0
10
14
172
11.5
1
0
1
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,020
40
51
male
1
0
0
0
0
0
0
0
hemorrhagic
41.1
0
0
0
24
3
170
6.4
0
0
0
1
0
0
0
0
0
1
1
0
0
1
0
0
0
0
0
0
0
0
0
4
0
4
2,019
41
38
male
1
1
0
0
0
0
1
0
hemorrhagic
8.4
0
0
0
42
10
223
8.1
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,023
42
52
male
1
0
0
0
0
0
0
0
ischemic
14.1
0
0
1
7
8
159
4.5
0
0
0
0
0
0
0
0
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
4
0
2
2,020
43
60
female
1
0
0
0
0
0
0
0
ischemic
35.3
0
1
0
18
12
179
10.4
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
0
4
2,023
44
52
female
0
1
0
0
0
0
1
0
hemorrhagic
5.1
0
0
0
13
12
122
7.1
0
0
0
0
0
0
0
0
0
1
1
0
0
0
1
0
0
0
0
0
0
0
0
5
0
12
2,020
45
51
male
0
0
0
0
0
0
0
0
hemorrhagic
11.4
0
0
0
4
15
210
8.6
0
0
0
0
0
1
0
0
0
1
1
0
0
0
0
0
0
0
0
0
1
0
0
5
0
14
2,023
46
73
female
1
1
0
0
0
0
1
0
hemorrhagic
2.5
1
0
0
10
8
185
3
1
0
1
0
0
0
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
6
0
7
2,023
47
42
female
1
0
0
0
0
0
0
0
hemorrhagic
13.6
0
0
0
3
10
180
5.2
1
0
1
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
1
0
0
0
0
6
0
7
2,020
48
63
female
1
0
1
0
0
0
0
0
ischemic
8
0
0
0
10
8
101
9
1
0
1
0
0
0
0
0
1
1
1
0
0
1
0
0
0
0
0
0
0
0
0
5
0
2
2,021
49
70
male
1
0
0
1
0
0
0
0
hemorrhagic
7.1
0
0
0
22
10
151
5.4
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
3
0
5
2,023
50
39
male
1
0
0
0
0
0
1
0
ischemic
5
0
0
0
26
12
179
10.5
1
1
1
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
4
0
12
2,023
51
30
male
1
0
0
0
0
0
0
0
hemorrhagic
36
0
0
0
19
12
216
4.9
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
1
0
4
0
7
2,022
52
52
male
1
0
0
1
1
0
1
0
ischemic
3.4
1
0
0
32
8
178
7.5
1
0
1
0
0
1
0
0
1
0
1
0
0
0
0
1
0
0
0
0
1
0
1
6
0
0
2,022
53
43
female
0
0
0
0
0
0
1
0
ischemic
18
0
0
0
8
15
188
6.6
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
2
0
2
2,021
54
57
male
0
0
0
1
0
0
0
0
ischemic
50.8
0
0
0
7
10
131
7.3
0
0
0
0
0
1
0
0
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
6
0
4
2,023
55
49
male
1
0
1
0
0
0
0
0
ischemic
13.2
0
0
0
20
15
176
13.1
0
0
0
0
0
0
0
0
1
1
1
0
0
0
0
0
0
0
1
0
0
0
0
3
0
6
2,023
56
88
male
1
0
0
0
0
1
0
0
ischemic
3.8
1
0
0
11
3
174
6.9
1
0
1
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
0
0
0
1
6
0
0
2,021
57
68
female
1
0
0
0
0
0
0
0
hemorrhagic
21.7
0
0
0
5
15
133
11.1
1
0
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
6
2,019
58
38
male
1
1
0
0
0
0
0
0
ischemic
17
0
0
0
24
3
167
5.8
1
0
1
0
0
0
0
0
0
0
1
0
1
0
0
0
0
0
0
0
0
0
1
6
0
0
2,023
59
50
female
0
1
0
0
1
0
0
0
ischemic
12.7
0
0
0
20
14
171
5.1
1
0
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
3
0
35
2,022
60
47
male
1
0
1
0
0
0
1
0
hemorrhagic
20.6
0
0
0
19
12
154
4.8
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
3
0
9
2,019
61
52
male
1
1
0
0
0
0
0
0
ischemic
23.1
0
1
0
12
14
114
6.5
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
1
0
0
0
0
0
0
0
2
0
7
2,023
62
56
female
0
0
0
0
0
0
1
0
ischemic
85.8
0
0
0
5
14
217
4.8
1
0
1
0
0
0
0
0
0
1
1
0
1
0
0
1
0
0
1
0
0
0
0
5
0
1
2,021
63
41
female
1
0
0
0
0
0
0
0
ischemic
20.7
0
0
0
8
15
137
9
1
0
1
0
0
1
0
0
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
1
0
13
2,022
64
52
female
1
0
0
1
1
1
0
0
ischemic
16.7
0
0
0
12
3
177
9.7
1
0
1
0
0
0
0
0
1
1
1
0
1
0
0
0
0
0
0
0
0
0
0
5
0
12
2,023
65
36
male
1
1
0
0
1
0
1
0
hemorrhagic
1.9
1
1
0
6
14
149
12.8
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
4
0
17
2,020
66
52
male
0
1
0
0
0
0
0
0
hemorrhagic
12.5
0
0
0
20
10
154
9.2
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
1
0
0
5
0
12
2,022
67
48
female
1
0
0
0
0
0
0
0
hemorrhagic
2.6
1
0
0
31
10
151
9
0
0
0
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
0
0
0
1
6
0
0
2,023
68
44
male
1
0
0
1
0
0
0
0
ischemic
25.1
0
0
1
8
3
194
5.7
1
0
1
0
0
0
0
0
1
1
1
0
0
1
0
0
0
0
0
0
0
0
0
5
0
5
2,023
69
66
female
1
0
0
0
1
0
0
0
ischemic
11
0
0
0
21
14
169
9.7
1
0
1
1
0
0
0
0
0
1
0
1
1
0
0
1
0
0
0
0
0
0
0
5
0
12
2,021
70
49
male
1
0
1
0
0
0
0
0
hemorrhagic
59.7
0
0
0
10
6
226
9.2
1
0
1
0
0
0
0
0
0
1
0
0
0
1
0
0
0
1
0
0
0
0
0
4
0
11
2,023
71
51
male
1
0
0
0
0
0
0
0
ischemic
1.8
1
0
0
34
6
171
11.9
1
0
1
0
0
0
0
0
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
5
0
9
2,020
72
59
female
0
0
0
0
0
0
0
0
hemorrhagic
15.5
0
0
1
8
6
167
7.6
1
0
1
0
0
1
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
4
0
17
2,020
73
50
male
0
0
0
0
0
0
0
0
hemorrhagic
35.6
0
1
0
19
10
187
6.8
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,022
74
55
female
1
0
0
0
0
0
0
0
ischemic
6.7
0
0
0
8
12
162
8.1
0
0
0
0
1
0
0
0
0
1
0
0
1
0
0
1
0
0
0
0
0
0
0
2
0
5
2,023
75
71
female
1
0
0
1
0
1
0
0
hemorrhagic
17.2
0
0
1
11
6
191
6.8
1
0
1
0
0
1
0
0
0
1
1
0
1
0
0
0
0
0
0
0
0
0
0
4
0
3
2,022
76
39
female
1
0
0
0
0
0
0
0
hemorrhagic
5.7
0
0
0
27
15
155
6.5
0
0
0
0
1
1
0
0
0
1
1
0
0
0
0
0
0
1
0
0
0
0
1
6
0
0
2,020
77
48
female
1
0
0
0
0
0
0
0
ischemic
19.8
0
0
0
5
15
150
8.6
1
1
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
12
2,021
78
44
female
1
0
0
1
0
1
0
0
ischemic
7.4
0
1
1
4
12
192
9.8
1
1
1
0
1
1
0
0
0
1
0
0
1
0
0
0
0
0
0
0
0
0
0
6
0
14
2,021
79
55
female
1
0
0
0
0
0
0
0
ischemic
43.5
0
0
1
6
3
168
7.4
0
0
0
1
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,023
80
39
female
1
0
0
0
0
0
0
0
hemorrhagic
13.6
0
0
0
6
15
167
5.4
0
0
0
1
0
1
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
6
0
5
2,022
81
57
female
1
1
0
1
0
1
0
0
hemorrhagic
6.7
0
0
0
21
10
129
6.2
1
0
1
1
0
0
0
0
0
1
0
0
0
0
0
1
0
0
0
0
0
0
1
6
0
0
2,022
82
74
male
1
0
0
0
0
0
0
0
ischemic
69.5
0
0
0
14
15
170
3.7
0
0
0
0
0
1
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
6
1
6
2,023
83
39
male
1
1
0
0
0
0
0
0
ischemic
7.8
0
0
1
42
12
159
11.5
0
0
0
0
0
0
0
0
1
1
1
0
1
0
0
0
0
0
0
0
0
0
1
6
0
0
2,021
84
72
female
0
0
0
0
0
1
1
0
ischemic
7.3
0
0
1
6
8
167
8.8
1
0
1
1
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
0
0
0
0
4
0
12
2,020
85
45
male
0
0
0
0
0
1
0
0
hemorrhagic
14
0
0
0
14
15
232
5
0
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,019
86
51
male
0
0
0
0
0
0
1
0
ischemic
4.3
1
0
0
42
3
139
5.7
0
0
0
0
1
0
0
0
1
1
1
0
1
0
0
0
0
0
0
0
0
0
1
6
0
0
2,019
87
46
female
1
0
0
1
0
0
0
0
hemorrhagic
16.7
0
0
0
12
15
154
4.5
1
0
1
0
0
1
0
0
0
1
1
1
1
0
0
0
0
0
0
0
0
0
0
5
0
8
2,022
88
63
female
1
0
0
0
0
0
1
0
ischemic
22.1
0
0
0
6
6
142
4.4
0
0
0
0
0
0
0
0
0
1
1
0
1
0
0
0
0
0
0
0
0
0
1
6
0
0
2,019
89
44
male
1
0
0
0
0
0
1
0
hemorrhagic
10
0
0
0
8
12
160
10.9
1
0
1
1
0
1
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
4
0
7
2,021
90
32
male
0
0
0
0
0
1
1
0
hemorrhagic
4.6
0
0
0
17
10
192
10.1
0
0
0
1
1
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
1
6
0
0
2,019
91
48
male
1
0
0
0
0
0
0
0
ischemic
11.6
0
0
0
25
8
164
6
1
1
1
0
0
0
0
0
1
1
0
0
1
0
0
0
0
0
0
0
0
0
0
5
0
5
2,023
92
49
female
1
0
0
1
0
0
0
0
hemorrhagic
19.1
0
0
0
5
12
154
9.1
1
0
1
0
0
1
0
0
0
1
0
0
1
0
0
0
0
0
1
0
0
0
0
6
0
4
2,022
93
58
male
1
0
0
0
1
0
0
0
hemorrhagic
23.9
0
0
0
4
10
177
7.5
0
0
0
1
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
1
0
0
3
0
9
2,021
94
58
male
1
0
0
0
0
0
1
0
hemorrhagic
9.3
0
0
0
14
8
226
5.4
1
0
1
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
6
0
4
2,022
95
36
female
0
0
0
0
0
0
0
1
hemorrhagic
1.9
1
0
0
5
8
173
10.2
0
0
0
0
1
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
5
0
9
2,022
96
59
female
0
1
0
0
0
1
0
0
ischemic
7.4
0
1
0
19
8
191
12.6
0
0
0
1
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
3
0
3
2,023
97
28
male
0
0
0
0
0
0
0
0
hemorrhagic
15.2
0
0
1
5
12
161
7.7
0
0
0
1
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
6
0
9
2,019
98
49
female
0
0
0
0
0
0
0
0
hemorrhagic
12.4
0
0
0
6
15
181
4.1
0
0
0
0
0
0
0
0
0
1
1
0
0
0
0
0
0
0
0
0
0
0
0
6
0
5
2,020
99
80
female
1
0
0
1
0
0
0
0
ischemic
17.4
0
0
1
19
8
132
6.5
1
0
1
1
0
0
0
0
1
1
1
0
0
1
0
0
0
0
0
0
0
0
0
3
0
6
2,022
100
86
female
1
0
0
0
0
0
0
0
hemorrhagic
8.2
0
0
0
31
15
242
4
0
0
0
0
1
0
0
0
0
1
1
0
0
0
0
1
1
0
0
0
0
0
1
6
0
0
2,019
End of preview. Expand in Data Studio

Stroke Emergency Care

Abstract

Synthetic dataset modeling acute stroke emergency care across three SSA scenarios. Captures stroke type (ischemic/hemorrhagic), presentation delay, CT availability, thrombolysis, stroke unit admission, complications (aspiration pneumonia, DVT), and mortality/disability (mRS) outcomes. Parameterized from primary SSA stroke research.

Parameterization Evidence

Parameter Value Source Year
90-day stroke mortality (Tanzania) 50% (ischemic 49%, hemorrhagic 50%) Hertz et al. Int J Qual Health Care 2018
Hemorrhagic stroke proportion 54% at MNH Tanzania Hertz et al. 2018
DVT prophylaxis (Tanzania) 0% Hertz et al. 2018
Thrombolysis safety (SA) SICH 4.8%, mortality 7.1% Bateman et al. Int J Stroke 2013
Stroke services Africa Far from optimal; lack imaging, personnel Owolabi et al. Eur J Neurol (review) 2022
Hemorrhagic proportion SSA 30-50% (vs 15-20% HIC) Ogeng'o et al. Afr J Neurol Sci 2014
Hypertension in stroke 60-80% of cases Multiple SSA studies 2014-2022

Validation

Validation Report

Usage 

from datasets import load_dataset
ds = load_dataset("electricsheepafrica/stroke-emergency-care", name="basic_stroke_care")
df = ds['train'].to_pandas()

References

  1. Hertz JT et al. (2018). Stroke treatments Tanzania. Int J Qual Health Care. DOI: 10.1093/intqhc/mzy183
  2. Bateman BT et al. (2013). Thrombolysis acute ischemic stroke SA. Int J Stroke. DOI: 10.1111/j.1747-4949.2012.00835.x
  3. Owolabi MO et al. (2022). Acute ischemic stroke management Africa. Eur J Neurol. DOI: 10.1111/ene.15498
  4. Sarfo FS et al. (2017). Acute stroke care Ghana. BMC Health Serv Res. DOI: 10.1186/s12913-017-2061-9

License

CC-BY-4.0

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