Datasets:

electricsheepafrica
/

africa-synth-stroke-emergency-care-all

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	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	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	1	0	1	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	1	1	0	0	0	0	0	0	1	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	1	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	1	0	1	0	0	0	0	0	1	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	1	0	0	1	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	1	0	1	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	1	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	1	1	0	0	0	0	0	0	1	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	1	1	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	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	1	0	0	0	0	0	0	1	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	1	1	0	0	0	0	0	0	1	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	1	1	0	1	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	1	0	1	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	1	0	1	1	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	1	1	1	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	1	1	1	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	1	1	0	1	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	1	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	1	1	0	1	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	1	1	1	1	1	0	0	1	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	1	1	1	1	0	1	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	1	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	1	0	0	0	1	0	0	0	0	0	1	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	1	1	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	1	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	1	1	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	1	1	0	0	1	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	1	1	1	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	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	1	1	1	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	1	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	1	1	0	0	0	1	1	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	1	1	0	0	1	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	1	1	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	1	1	0	0	0	0	1	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	1	0	1	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	1	0	1	0	0	0	0	0	0	1	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	1	1	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	1	1	0	0	1	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	1	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	1	1	1	0	1	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	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	1	1	0	0	0	1	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	1	1	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	1	0	0	1	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	1	1	0	1	0	0	0	0	0	1	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	1	1	1	0	0	1	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	1	0	0	0	0	0	1	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	1	1	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	1	1	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	1	0	1	0	0	0	0	1	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	1	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	1	1	1	0	1	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	1	1	1	0	0	0	0	0	0	0	1	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	1	1	0	1	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	1	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	1	0	1	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	1	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	1	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	1	1	0	0	0	0	0	1	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	1	1	0	1	0	0	1	0	0	1	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	1	1	1	0	1	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	1	1	1	0	1	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	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	1	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	1	1	0	1	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	1	1	1	0	0	1	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	1	0	1	1	0	0	1	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	1	0	0	0	1	0	0	0	1	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	1	1	1	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	1	1	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	1	1	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	1	0	0	1	0	0	1	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	1	1	0	1	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	1	1	0	0	0	0	0	0	1	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	1	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	1	0	0	1	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	1	1	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	1	1	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	1	0	0	0	0	0	1	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	1	1	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	1	1	1	0	1	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	1	1	0	1	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	1	1	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	1	1	1	0	1	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	1	1	1	1	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	1	1	0	1	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	1	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	1	1	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	1	1	0	0	1	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	1	0	0	1	0	0	0	0	0	1	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	1	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	1	1	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	1	1	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	1	1	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	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	1	1	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	1	1	1	0	0	1	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	1	1	0	0	0	0	1	1	0	0	0	0	1	6	0	0	2,019

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⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

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

Usage

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

References

Hertz JT et al. (2018). Stroke treatments Tanzania. Int J Qual Health Care. DOI: 10.1093/intqhc/mzy183
Bateman BT et al. (2013). Thrombolysis acute ischemic stroke SA. Int J Stroke. DOI: 10.1111/j.1747-4949.2012.00835.x
Owolabi MO et al. (2022). Acute ischemic stroke management Africa. Eur J Neurol. DOI: 10.1111/ene.15498
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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