Datasets:

electricsheepafrica
/

stroke-emergency-care

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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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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