Datasets:

electricsheepafrica
/

asthma-copd-respiratory

id int64	age int64	sex string	child int64	urban int64	education string	bmi float64	biomass_fuel_cooking int64	tobacco_smoking int64	passive_smoking int64	occupational_dust int64	outdoor_air_pollution int64	childhood_respiratory_infection int64	family_history_asthma int64	allergic_rhinitis int64	tb_history int64	hiv_positive int64	diagnosis string	severity string	peak_flow_done int64	clinical_diagnosis_only int64	misdiagnosed int64	chronic_cough int64	wheezing int64	dyspnoea int64	sputum_production int64	nocturnal_symptoms int64	exercise_limitation int64	inhaler_prescribed int64	inhaler_type string	inhaler_technique_correct int64	oral_steroids int64	oral_theophylline int64	inhaler_affordable int64	inhaler_available_pharmacy int64	exacerbations_past_year int64	hospitalised_exacerbation int64	emergency_visit int64	icu_admission int64	oxygen_given int64	died int64	school_days_missed int64	work_days_missed int64
1	45	M	0	0	secondary	14	0	0	0	1	0	0	0	0	0	0	asthma	mild	0	1	1	0	1	0	0	1	0	0	none	0	0	0	0	0	0	0	0	0	0	0	0	0
2	33	M	0	1	none	25.2	0	0	0	0	1	1	1	0	0	0	asthma	severe	0	1	0	0	0	1	0	1	0	1	salbutamol_mdi	1	0	0	0	0	0	0	0	0	0	0	0	0
3	28	M	0	1	secondary	27.8	0	0	0	0	1	0	1	0	0	0	chronic_bronchitis	mild	1	0	0	1	1	0	1	0	0	0	none	0	0	0	0	0	1	0	0	0	0	0	0	0
4	33	F	0	0	none	23.1	1	0	0	0	0	0	0	0	0	0	chronic_bronchitis	severe	0	1	0	0	0	1	1	0	1	1	nebuliser	0	1	0	1	0	0	0	0	0	0	0	0	0
5	41	F	0	0	secondary	31	1	0	0	1	0	0	0	1	0	0	asthma	severe	0	1	0	1	1	0	0	1	0	1	beclomethasone_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
6	32	M	0	1	secondary	23.8	1	0	1	0	1	0	0	0	0	0	asthma	mild	0	1	0	0	0	1	0	0	0	1	beclomethasone_mdi	1	0	0	0	1	0	0	0	0	0	0	0	0
7	16	F	1	0	secondary	22.4	1	0	0	0	0	0	0	1	0	0	asthma	mild	1	0	0	0	1	1	0	0	0	0	none	0	0	0	0	0	0	0	0	0	0	0	0	0
8	51	F	0	0	none	24.7	1	0	0	1	0	0	0	0	0	0	copd	moderate	1	0	0	1	0	1	1	0	1	1	nebuliser	1	0	0	0	1	1	0	1	0	0	0	0	5
9	85	F	0	0	secondary	15.7	1	1	1	0	0	0	0	0	0	0	copd	moderate	1	0	0	1	0	0	1	0	1	1	combination	0	0	0	1	1	0	0	0	0	0	0	0	0
10	71	M	0	1	tertiary	25.2	1	1	1	1	1	1	1	0	0	0	asthma	moderate	0	1	0	1	1	1	0	1	1	1	salbutamol_mdi	0	0	0	0	1	0	0	0	0	0	0	0	0
11	48	M	0	0	tertiary	17.4	1	0	0	0	0	1	0	0	0	0	asthma	moderate	1	0	0	1	1	1	0	1	1	1	salbutamol_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
12	71	M	0	0	secondary	25.2	1	0	0	0	0	0	0	0	0	0	copd	mild	0	1	1	0	1	0	0	0	0	1	combination	0	0	0	0	0	2	1	0	0	1	0	0	4
13	5	F	1	0	secondary	31.1	1	0	0	0	0	1	1	1	0	0	asthma	moderate	1	0	0	0	1	1	0	1	1	1	salbutamol_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
14	25	F	0	0	primary	29.6	1	0	1	0	0	0	1	0	0	1	copd	severe	1	0	0	1	1	1	0	0	0	1	nebuliser	0	1	0	0	1	2	1	0	1	1	0	0	17
15	54	F	0	0	none	22.4	1	0	0	0	0	0	1	0	0	0	copd	severe	1	0	0	1	1	1	0	0	0	0	none	0	1	0	0	0	0	0	0	0	0	0	0	0
16	54	F	0	0	none	17.8	1	0	0	0	0	1	0	0	0	0	copd	moderate	1	0	0	0	1	0	1	0	0	0	none	0	0	1	0	0	2	0	0	0	0	0	0	0
17	42	M	0	0	secondary	22.9	1	0	1	0	0	0	1	0	0	0	copd	moderate	0	1	0	1	1	0	1	0	1	1	salbutamol_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
18	36	F	0	1	secondary	26.3	0	0	0	0	1	0	0	1	0	0	asthma	mild	0	1	1	1	0	0	0	0	0	1	beclomethasone_mdi	0	0	0	1	1	0	0	0	0	0	0	0	0
19	46	M	0	1	secondary	31.1	0	0	0	1	1	0	1	0	0	0	asthma	mild	0	1	1	1	1	1	0	0	0	1	salbutamol_mdi	1	0	0	0	1	1	0	0	0	0	0	0	1
20	52	M	0	0	primary	24.5	1	0	0	0	0	0	0	0	0	0	asthma	severe	0	1	1	1	1	1	0	0	1	1	beclomethasone_mdi	1	1	0	0	0	2	0	0	0	0	0	0	8
21	5	F	1	0	secondary	26.6	1	0	0	0	0	0	0	0	0	0	asthma	moderate	1	0	0	1	1	0	0	1	0	1	nebuliser	0	0	0	0	1	1	0	0	0	0	0	0	0
22	9	M	1	1	secondary	15.9	0	0	0	0	0	0	1	0	0	0	asthma	moderate	0	1	1	1	0	0	0	1	0	1	nebuliser	1	0	0	0	1	0	0	0	0	0	0	0	0
23	19	M	0	1	secondary	26.5	0	0	0	1	1	0	0	0	0	0	copd	mild	1	0	0	1	1	1	1	0	0	1	salbutamol_mdi	0	0	0	0	0	1	0	0	0	0	0	0	6
24	48	F	0	0	secondary	24.4	1	0	0	0	0	0	0	0	0	0	asthma	moderate	0	1	0	0	0	0	0	1	1	1	beclomethasone_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
25	25	M	0	1	none	18.4	0	0	1	1	1	1	0	0	0	0	asthma	mild	1	0	0	0	1	0	0	1	0	1	salbutamol_mdi	0	0	0	0	1	0	0	0	0	0	0	0	0
26	13	F	1	1	primary	26.8	1	0	0	0	0	1	1	1	0	1	asthma	mild	1	0	0	1	1	0	0	0	0	0	none	0	0	0	0	0	0	0	0	0	0	0	0	0
27	72	M	0	0	secondary	23.1	0	0	0	0	0	0	0	0	0	0	asthma	moderate	1	0	0	1	1	1	0	1	1	1	combination	0	0	0	1	0	0	0	0	0	0	0	0	0
28	43	F	0	1	primary	16.5	1	1	0	0	1	0	0	0	0	0	asthma	moderate	1	0	0	1	0	1	0	0	1	0	none	0	0	1	0	0	1	0	0	0	0	0	0	2
29	59	F	0	0	primary	24.1	1	0	0	0	0	1	0	0	0	0	chronic_bronchitis	mild	1	0	0	0	0	1	1	0	0	1	nebuliser	0	0	0	0	0	0	0	0	0	0	0	0	0
30	68	M	0	0	secondary	18.5	1	0	0	1	0	0	0	0	0	0	asthma	moderate	0	1	0	1	0	1	0	1	1	1	salbutamol_mdi	1	0	0	0	0	0	0	0	0	0	0	0	0
31	38	F	0	1	primary	16.3	0	0	0	1	1	0	0	0	0	0	asthma	severe	0	1	0	0	0	0	0	1	1	1	beclomethasone_mdi	1	0	0	0	1	0	0	0	0	0	0	0	0
32	34	F	0	0	secondary	25.4	1	0	0	0	0	0	0	1	0	0	asthma	severe	1	0	0	1	1	1	0	0	0	0	none	0	1	0	0	0	1	0	1	0	0	0	0	20
33	29	F	0	0	primary	25.1	1	0	1	0	0	0	0	1	0	0	asthma	mild	1	0	0	0	1	0	0	1	0	1	beclomethasone_mdi	1	0	0	0	0	1	0	1	0	0	0	0	4
34	27	M	0	0	secondary	23	1	0	0	0	0	0	1	0	0	0	copd	mild	1	0	0	1	1	0	1	0	0	1	beclomethasone_mdi	0	0	0	0	0	2	0	1	0	0	0	0	18
35	51	M	0	0	secondary	26	1	0	0	0	0	0	0	0	0	0	copd	severe	0	1	0	1	1	1	1	0	1	1	beclomethasone_mdi	0	1	0	1	1	1	0	1	0	0	0	0	0
36	35	M	0	1	secondary	24.6	1	0	0	0	0	0	0	0	0	0	copd	mild	0	1	0	1	1	0	0	0	0	1	beclomethasone_mdi	0	0	0	0	1	0	0	0	0	0	0	0	0
37	49	F	0	0	secondary	22	1	0	0	0	0	0	0	0	0	0	asthma	severe	0	1	1	1	1	1	0	0	1	0	none	0	1	0	0	0	0	0	0	0	0	0	0	0
38	85	F	0	0	none	22.2	1	0	0	0	0	1	0	1	0	0	copd	moderate	0	1	0	0	0	1	0	0	0	1	beclomethasone_mdi	0	0	0	1	0	0	0	0	0	0	0	0	0
39	15	F	1	0	primary	30.4	1	0	0	0	0	1	0	1	0	0	asthma	mild	1	0	0	1	1	1	0	0	0	0	none	0	0	0	0	0	0	0	0	0	0	0	0	0
40	5	F	1	0	secondary	29.9	1	0	0	0	0	0	0	0	0	0	asthma	mild	1	0	0	0	1	1	0	1	0	1	combination	0	0	0	0	1	0	0	0	0	0	0	0	0
41	41	F	0	0	secondary	15.9	1	0	0	0	0	0	0	0	0	1	asthma	moderate	0	1	0	1	1	0	0	0	1	1	beclomethasone_mdi	1	0	0	0	0	0	0	0	0	0	1	0	0
42	15	F	1	0	none	22.3	1	0	0	0	0	1	0	0	0	0	asthma	mild	1	0	0	1	1	1	0	0	0	1	salbutamol_mdi	1	0	0	1	0	0	0	0	0	0	0	0	0
43	36	F	0	1	none	14	0	0	0	0	0	0	0	1	0	0	chronic_bronchitis	moderate	0	1	1	0	1	1	0	0	1	1	beclomethasone_mdi	1	0	0	1	1	0	0	0	0	0	0	0	0
44	21	M	0	0	primary	23.3	0	0	0	0	0	0	0	0	0	0	asthma	mild	1	0	0	1	1	0	0	1	0	1	beclomethasone_mdi	0	0	0	1	0	1	0	0	0	0	0	0	15
45	33	F	0	0	none	20	1	0	1	0	0	0	0	0	1	0	asthma	severe	1	0	0	1	1	1	0	0	1	1	nebuliser	0	0	0	1	0	0	0	0	0	0	0	0	0
46	5	F	1	0	secondary	14	1	0	0	0	0	0	0	1	0	0	asthma	mild	0	1	1	1	1	0	0	1	0	1	salbutamol_mdi	0	0	0	1	0	0	0	0	0	0	0	0	0
47	37	M	0	1	none	27.4	0	0	0	1	0	0	0	0	0	1	copd	severe	0	1	1	1	1	0	1	0	0	0	none	0	1	1	0	0	1	1	0	0	1	0	0	13
48	56	F	0	1	none	24.9	0	0	0	0	0	0	0	0	0	0	copd	moderate	0	1	0	1	1	1	1	0	1	1	salbutamol_mdi	1	0	0	0	1	3	0	1	0	0	0	0	1
49	73	M	0	0	tertiary	16	1	1	1	1	0	1	0	0	0	0	asthma	severe	0	1	0	0	1	1	0	1	1	0	none	0	1	0	0	0	1	1	0	0	1	0	0	0
50	51	M	0	0	none	18.7	1	0	0	0	0	0	0	0	0	0	copd	mild	0	1	1	0	1	0	1	0	0	1	combination	0	0	0	0	0	0	0	0	0	0	0	0	0
51	41	M	0	0	secondary	19.4	1	0	0	0	0	0	0	0	0	0	asthma	moderate	0	1	0	1	1	0	0	1	1	1	beclomethasone_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
52	15	M	1	1	primary	22.9	0	0	1	0	1	0	0	0	0	0	asthma	moderate	1	0	0	1	1	1	0	0	1	1	salbutamol_mdi	0	0	0	1	1	0	0	0	0	0	0	0	0
53	27	F	0	0	secondary	16.7	1	0	0	0	0	0	1	1	0	0	asthma	moderate	0	1	0	1	1	0	0	0	0	0	none	0	0	0	0	0	0	0	0	0	0	0	0	0
54	38	F	0	0	primary	19	1	0	1	1	0	0	0	0	0	0	asthma	severe	1	0	0	0	1	1	0	0	1	1	nebuliser	1	1	0	0	0	0	0	0	0	0	0	0	0
55	39	F	0	1	none	28.1	0	0	1	0	0	1	0	0	0	0	asthma	moderate	0	1	0	1	1	0	0	1	1	0	none	0	0	1	0	0	0	0	0	0	0	0	0	0
56	60	M	0	1	none	29.8	1	0	0	0	1	0	0	1	0	0	asthma	severe	1	0	0	1	1	1	0	0	1	0	none	0	0	0	0	0	0	0	0	0	0	1	0	0
57	59	M	0	0	secondary	22.9	1	0	0	0	0	0	0	0	0	0	asthma	mild	1	0	0	1	1	0	0	1	0	0	none	0	0	0	0	0	1	0	0	0	0	0	0	3
58	11	F	1	0	secondary	23.6	0	0	0	0	0	0	0	0	0	0	asthma	mild	0	1	0	0	0	1	0	0	0	1	beclomethasone_mdi	0	0	0	0	1	0	0	0	0	0	0	0	0
59	30	F	0	1	primary	20.3	1	0	0	1	0	0	0	0	0	0	copd	severe	1	0	0	1	1	0	0	0	0	1	beclomethasone_mdi	0	1	0	0	1	1	0	0	0	0	0	0	2
60	21	F	0	0	primary	26	1	0	1	1	0	0	1	1	0	0	asthma_copd_overlap	moderate	0	1	0	1	0	1	0	0	1	1	salbutamol_mdi	0	0	0	1	1	0	0	0	0	0	0	0	0
61	16	F	1	0	none	24.6	1	0	0	0	0	0	0	0	0	0	asthma	moderate	0	1	1	1	1	0	0	1	1	1	salbutamol_mdi	1	0	0	0	0	0	0	0	0	0	0	0	0
62	31	F	0	0	primary	28.6	0	0	0	0	0	0	1	0	0	0	copd	moderate	0	1	0	1	1	1	1	0	1	0	none	0	0	0	0	0	0	0	0	0	0	0	0	0
63	37	F	0	1	secondary	25.2	0	0	0	0	0	0	0	0	0	0	asthma	mild	1	0	0	1	0	0	0	0	0	1	nebuliser	0	0	0	1	1	1	0	0	0	0	0	0	20
64	41	M	0	0	secondary	23.4	1	0	0	0	0	0	1	1	0	0	asthma	severe	0	1	1	1	1	1	0	1	1	1	beclomethasone_mdi	1	0	0	1	0	1	0	1	0	0	0	0	8
65	42	M	0	0	primary	24.2	1	0	0	0	0	0	0	0	0	0	asthma	mild	1	0	0	1	1	1	0	0	0	1	combination	0	0	0	0	1	1	0	1	0	0	0	0	6
66	12	M	1	1	secondary	20.2	1	0	0	0	1	0	0	1	0	0	asthma	severe	0	1	1	0	1	1	0	1	1	1	combination	1	0	0	0	1	1	0	0	0	0	0	0	0
67	53	M	0	0	tertiary	29.5	1	0	0	0	0	0	0	0	0	0	chronic_bronchitis	mild	1	0	0	1	1	1	1	0	0	0	none	0	0	0	0	0	0	0	0	0	0	0	0	0
68	28	F	0	0	primary	17	1	0	0	0	0	1	0	0	1	0	asthma	moderate	0	1	0	1	1	0	0	1	0	1	salbutamol_mdi	1	0	0	0	0	0	0	0	0	0	0	0	0
69	35	F	0	1	primary	19.2	0	0	0	0	1	0	0	0	0	0	chronic_bronchitis	severe	1	0	0	1	0	1	1	0	0	1	beclomethasone_mdi	0	1	0	0	0	1	1	1	0	1	0	0	2
70	50	F	0	0	tertiary	23.6	1	0	0	0	0	0	0	0	0	0	asthma	mild	1	0	0	1	1	1	0	0	0	1	salbutamol_mdi	1	0	0	0	0	0	0	0	0	0	0	0	0
71	51	M	0	0	primary	26.8	1	1	1	0	0	1	0	0	0	0	copd	severe	1	0	0	1	0	1	1	0	0	1	nebuliser	1	1	0	1	0	0	0	0	0	0	1	0	0
72	29	M	0	1	primary	14	1	1	1	0	0	0	0	0	0	0	asthma_copd_overlap	severe	0	1	0	1	0	1	0	0	1	0	none	0	1	0	0	0	2	1	0	1	1	0	0	15
73	21	M	0	1	primary	25.5	0	0	0	0	0	0	0	0	0	0	asthma	mild	0	1	1	1	1	1	0	0	0	1	nebuliser	0	0	0	0	0	0	0	0	0	0	0	0	0
74	55	F	0	0	primary	21.3	1	0	0	1	0	0	0	1	0	0	copd	mild	0	1	0	1	1	0	0	0	0	1	salbutamol_mdi	1	0	0	0	0	0	0	0	0	0	0	0	0
75	50	M	0	1	tertiary	19.3	1	0	0	0	1	0	0	0	1	1	copd	mild	0	1	1	0	0	0	1	0	0	1	salbutamol_mdi	0	0	0	1	1	0	0	0	0	0	0	0	0
76	43	M	0	1	secondary	21.9	1	0	0	0	1	0	0	0	0	1	asthma	moderate	0	1	0	1	1	1	0	0	1	1	nebuliser	0	0	0	0	0	1	0	1	0	0	0	0	1
77	79	F	0	0	none	16.6	1	0	1	0	0	0	0	0	0	0	copd	mild	1	0	0	1	0	1	1	0	0	1	nebuliser	0	0	0	0	0	0	0	0	0	0	0	0	0
78	45	M	0	0	secondary	14	1	0	1	0	0	0	0	0	0	0	asthma	mild	0	1	1	1	0	1	0	1	0	1	beclomethasone_mdi	0	0	0	1	0	0	0	0	0	0	0	0	0
79	46	F	0	1	secondary	15.1	1	0	0	0	0	1	0	0	0	1	asthma	severe	1	0	0	1	1	1	0	1	1	0	none	0	1	0	0	0	0	0	0	0	0	0	0	0
80	41	F	0	0	primary	25	1	0	0	0	0	0	0	0	0	0	copd	mild	0	1	0	1	1	1	1	0	0	0	none	0	0	0	0	0	2	1	0	0	1	0	0	7
81	5	M	1	0	tertiary	22.1	1	0	1	0	0	0	0	0	0	0	asthma	mild	0	1	0	1	0	0	0	0	0	1	beclomethasone_mdi	0	0	0	1	0	0	0	0	0	0	0	0	0
82	54	M	0	1	secondary	31	0	0	1	0	0	0	0	0	0	0	copd	severe	0	1	0	1	0	0	1	0	1	1	beclomethasone_mdi	0	1	0	0	1	1	0	0	0	0	0	0	34
83	24	M	0	1	primary	14	0	1	0	0	0	0	0	0	0	0	chronic_bronchitis	moderate	0	1	0	1	1	1	1	0	0	1	salbutamol_mdi	1	0	0	1	0	0	0	0	0	0	0	0	0
84	22	M	0	0	tertiary	24.4	1	0	0	0	0	0	0	0	0	1	copd	severe	0	1	0	1	0	0	1	0	0	1	salbutamol_mdi	1	1	0	1	0	0	0	0	0	0	0	0	0
85	27	M	0	1	secondary	26.3	0	0	1	0	0	0	0	0	0	0	asthma	severe	0	1	0	1	1	1	0	0	1	1	salbutamol_mdi	0	1	0	0	1	0	0	0	0	0	0	0	0
86	59	F	0	0	tertiary	20.3	1	1	0	0	0	1	0	0	0	0	copd	moderate	1	0	0	1	0	0	1	0	1	0	none	0	0	0	0	0	1	0	0	0	0	0	0	7
87	49	M	0	0	none	26.4	1	0	0	0	0	0	0	0	0	0	asthma	mild	0	1	1	1	0	0	0	1	0	1	beclomethasone_mdi	0	0	0	1	1	1	0	0	0	0	0	0	16
88	32	F	0	0	primary	14	1	0	0	0	0	0	0	0	0	0	asthma	moderate	1	0	0	1	1	1	0	1	0	1	beclomethasone_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
89	57	F	0	0	secondary	28	1	0	0	0	0	0	0	0	0	0	copd	severe	1	0	0	1	1	1	0	0	1	1	salbutamol_mdi	0	0	0	0	1	0	0	0	0	0	0	0	0
90	54	M	0	1	primary	19.6	0	0	0	0	1	0	0	1	0	0	copd	mild	0	1	0	1	0	1	0	0	0	0	none	0	0	0	0	0	1	1	0	0	1	0	0	19
91	29	F	0	1	secondary	18.2	0	0	1	0	0	0	0	0	0	0	asthma	moderate	0	1	1	1	1	0	0	1	1	1	combination	0	0	0	1	1	1	1	1	0	1	0	0	14
92	48	M	0	0	secondary	25.5	1	0	1	0	0	0	0	0	0	0	asthma	mild	0	1	0	1	0	0	0	0	0	1	beclomethasone_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
93	55	F	0	0	secondary	25	0	0	0	0	0	1	0	0	0	0	asthma	mild	1	0	0	1	1	1	0	1	0	1	beclomethasone_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
94	18	F	0	0	secondary	22.9	1	0	0	0	0	0	1	0	0	0	asthma	moderate	1	0	0	1	1	0	0	0	1	1	beclomethasone_mdi	1	0	0	0	0	2	0	0	0	0	0	0	16
95	10	F	1	0	primary	19.5	1	0	1	0	0	0	0	0	0	0	asthma	mild	1	0	0	1	1	1	0	1	0	1	salbutamol_mdi	0	0	0	1	1	1	0	0	0	0	0	17	0
96	66	F	0	0	secondary	28.5	1	0	0	0	0	0	1	0	0	0	copd	severe	1	0	0	1	1	1	1	0	1	1	salbutamol_mdi	0	0	0	1	1	0	0	0	0	0	0	0	0
97	53	F	0	1	none	26.4	1	0	1	0	0	0	0	1	0	0	copd	moderate	1	0	0	0	1	0	1	0	0	0	none	0	0	1	0	0	2	0	0	0	0	0	0	6
98	54	M	0	1	primary	29.8	1	0	0	1	1	0	1	0	0	0	asthma	moderate	0	1	1	1	0	0	0	1	1	1	salbutamol_mdi	1	0	0	0	1	2	1	1	0	1	0	0	7
99	60	F	0	1	secondary	23.7	0	0	0	0	1	0	0	0	0	0	copd	mild	0	1	0	1	0	1	1	0	0	1	salbutamol_mdi	0	0	0	0	0	0	0	0	0	0	0	0	0
100	73	F	0	0	primary	32.7	1	0	1	1	0	0	0	0	0	0	asthma	moderate	0	1	0	1	1	0	0	1	0	1	salbutamol_mdi	0	0	0	1	0	1	1	1	0	1	0	0	28

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Asthma & COPD Dataset

Abstract

This dataset provides 30,000 simulated chronic respiratory disease records (10,000 per scenario) from sub-Saharan Africa. Each record contains 45+ variables including diagnosis, risk factors, symptoms, spirometry, inhaler access, exacerbations, and outcomes. Three settings: urban respiratory clinic (0.81% mortality), district hospital (1.71%), and rural health centre (3.82%).

1. Introduction

Asthma and COPD are under-recognised, under-diagnosed, and under-treated in SSA. Over 90% of rural households depend on biomass fuel for cooking — the leading risk factor for chronic respiratory disease. Spirometry is rarely available, inhaler access is extremely limited outside urban areas, and only ~35% of users have correct inhaler technique.

This dataset is entirely simulated. It must not be used for clinical decision-making.

2. Methodology

2.1 Parameterization

Parameter	Value	Source
Biomass fuel use (rural)	~90%	Nature 2011
Inhaler technique correct	~35%	PMC 2025
COPD neglected in SSA	Yes	PubMed 2018
Household air pollution	#1 risk	PMC 2025
Asthma underdiagnosis	Common	PubMed 2017

2.2 Scenario Design

Scenario	Spirometry	Inhalers	O2	Mortality
Urban clinic	Yes	Yes	Yes	0.81%
District hospital	No	Yes	Yes	1.71%
Rural HC	No	No	No	3.82%

3. Schema

Column	Type	Description
id	int	Unique identifier
age	int	Patient age
diagnosis	categorical	asthma / copd / overlap / chronic_bronchitis
severity	categorical	mild / moderate / severe
biomass_fuel_cooking	binary	Uses biomass fuel
tobacco_smoking	binary	Current smoker
spirometry_done	binary	Spirometry performed
fev1_percent_predicted	int	FEV1% predicted
inhaler_prescribed	binary	Inhaler prescribed
inhaler_technique_correct	binary	Correct technique
exacerbations_past_year	int	Annual exacerbations
hospitalised_exacerbation	binary	Hospitalised
died	binary	Died

4. Validation

Validation Report

Key validation checks:

Mortality gradient: 0.81% → 1.71% → 3.82% ✓
Biomass fuel: ~70% overall ✓
Inhaler access: 75% urban → 0% rural ✓
Inhaler technique: ~35% correct ✓
Spirometry: only at specialist centres ✓
Asthma ~50% of diagnoses ✓

5. Usage

from datasets import load_dataset
dataset = load_dataset("electricsheepafrica/asthma-copd-respiratory", "district_hospital")
df = dataset["train"].to_pandas()

6. Limitations

Simulated: Not from real respiratory registries.
No lung function curves: No flow-volume loops.
No allergen data: No skin prick/IgE testing.
Simplified: No detailed pharmacotherapy.
Cross-sectional: No longitudinal lung function decline.

7. References

PMC (2025). Household air pollution and respiratory health Africa.
PMC (2022). Ambient air pollution and NCRDs SSA.
Nature (2011). Asthma/COPD in SSA, biomass fuel.
PubMed (2011). Asthma/COPD under-treated in SSA.
PubMed (2017). Biomass fuel and asthma severity Nigeria.
PubMed (2018). COPD neglected in LMICs.
PubMed (2024). CHEST-Africa respiratory observatory.

Citation

@dataset{esa_asthma_copd_2025,
  title={Asthma and COPD Dataset},
  author={Electric Sheep Africa},
  year={2025},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/electricsheepafrica/asthma-copd-respiratory}
}

License

CC-BY-4.0

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