Datasets:

electricsheepafrica
/

african-diabetes-dataset

patient_id stringlengths 9 9	age float64 18 85	sex stringclasses 2 values	is_pregnant bool 2 classes	residence stringclasses 2 values	education stringclasses 3 values	bmi float64 16 45	bmi_category stringclasses 4 values	family_history_diabetes bool 2 classes	previous_gdm bool 2 classes	physically_active bool 2 classes	has_hypertension bool 2 classes	parity float64 0 5 ⌀	previous_macrosomia bool 2 classes	pcos bool 2 classes	hiv_positive bool 2 classes	diabetes_status stringclasses 3 values	diagnosed bool 2 classes	years_since_diagnosis float64 0.1 12.3 ⌀	on_medication bool 2 classes	medication_type stringclasses 5 values	adherence stringclasses 3 values	fasting_glucose_mg_dl float64 70 327	hba1c_percent float64 4 14	total_cholesterol_mg_dl float64 120 350	ldl_mg_dl float64 60 250	hdl_mg_dl float64 25 80	triglycerides_mg_dl float64 40 450	creatinine_mg_dl float64 0.5 4.16	microalbuminuria bool 2 classes	retinopathy bool 2 classes	nephropathy bool 2 classes	neuropathy bool 2 classes	cardiovascular_disease bool 2 classes	diabetic_foot_ulcer bool 2 classes	preeclampsia bool 2 classes	cesarean_delivery bool 2 classes	macrosomic_baby bool 2 classes	neonatal_hypoglycemia bool 2 classes	nicu_admission bool 2 classes
DM_000001	63.2	Female	false	Urban	null	26.9	Overweight	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	155	6.5	269	159	40	196	0.53	false	false	false	false	false	false	null	null	null	null	null
DM_000002	50.4	Male	false	Rural	Primary	23.3	Normal	false	false	false	false	null	false	false	false	Normal	false	null	false	null	null	93	5.6	228	83	40	111	0.86	false	false	false	false	false	false	null	null	null	null	null
DM_000003	57.7	Male	false	Urban	Primary	25.1	Overweight	false	false	false	false	null	false	false	false	Diabetic	true	2.5	true	Combination	Poor	135	10.6	215	91	28	157	1.52	false	false	false	false	false	false	null	null	null	null	null
DM_000004	77.1	Male	false	Urban	null	22.6	Normal	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	191	8.2	202	175	36	245	0.78	true	false	false	false	false	false	null	null	null	null	null
DM_000005	58.3	Male	false	Urban	Secondary	26.3	Overweight	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	156	11.3	233	183	43	50	0.97	false	false	false	false	false	false	null	null	null	null	null
DM_000006	55.7	Male	false	Rural	Primary	21.5	Normal	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	206	9.6	322	93	26	171	0.87	true	false	false	false	false	false	null	null	null	null	null
DM_000007	39.7	Female	false	Urban	Primary	30.1	Obese I	false	false	true	false	null	false	false	false	Diabetic	true	5.1	true	Sulfonylurea	Poor	193	9.5	156	173	44	50	1.03	false	false	false	true	true	false	null	null	null	null	null
DM_000008	50.8	Female	false	Urban	Primary	26.4	Overweight	false	false	true	false	null	false	false	false	Diabetic	true	3.7	true	Sulfonylurea	Moderate	208	8.8	186	105	52	157	0.6	false	false	false	false	false	false	null	null	null	null	null
DM_000009	44.5	Male	false	Urban	Secondary	29	Overweight	false	false	false	true	null	false	false	false	Diabetic	true	0.1	true	Metformin	Poor	142	7.5	233	143	42	156	0.71	false	false	false	false	false	false	null	null	null	null	null
DM_000010	45.2	Female	false	Rural	Secondary	16.3	Normal	false	true	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	217	11.2	201	127	56	278	1.13	false	false	false	false	false	false	null	null	null	null	null
DM_000011	52.1	Male	false	Urban	Primary	27.5	Overweight	false	false	false	true	null	false	false	false	Diabetic	true	4.7	false	null	null	158	9.3	261	123	25	302	1.19	false	false	false	false	false	false	null	null	null	null	null
DM_000012	40.9	Female	false	Rural	Higher	21	Normal	false	false	false	false	null	false	false	false	Diabetic	true	2.9	true	Metformin	Moderate	123	7.5	219	174	38	182	0.82	true	false	false	false	false	false	null	null	null	null	null
DM_000013	46.8	Female	false	Rural	null	23.7	Normal	false	false	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	179	6.6	211	159	38	142	1.09	false	false	false	false	false	false	null	null	null	null	null
DM_000014	46.9	Female	false	Rural	Secondary	29.1	Overweight	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	185	6.6	193	147	51	192	0.5	true	false	false	false	false	false	null	null	null	null	null
DM_000015	48.5	Male	false	Rural	Higher	29.5	Overweight	false	false	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	185	10.2	251	127	46	206	1.02	false	false	false	false	false	false	null	null	null	null	null
DM_000016	53	Female	false	Urban	Primary	28.7	Overweight	false	false	true	true	null	false	false	false	Diabetic	true	6.3	false	null	null	209	8.4	219	114	45	280	0.81	false	true	false	false	false	false	null	null	null	null	null
DM_000017	29.7	Male	false	Rural	Primary	27.1	Overweight	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	208	10.9	250	145	65	303	1.09	true	false	false	false	false	false	null	null	null	null	null
DM_000018	62.7	Male	false	Urban	Primary	33.4	Obese I	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	180	6.5	205	134	43	222	0.84	false	false	false	false	false	false	null	null	null	null	null
DM_000019	55.6	Male	false	Urban	Primary	19.9	Normal	false	false	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	159	8	218	123	31	178	1.08	true	false	false	false	false	false	null	null	null	null	null
DM_000020	52.2	Female	false	Rural	Secondary	18.6	Normal	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	126	8.4	163	87	34	126	1.02	false	false	false	false	false	false	null	null	null	null	null
DM_000021	36	Female	false	Urban	Primary	28.4	Overweight	false	false	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	126	7.1	224	110	38	331	0.81	false	false	false	false	false	false	null	null	null	null	null
DM_000022	52.2	Male	false	Rural	Primary	19.4	Normal	true	false	true	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	126	10.8	204	148	36	193	0.67	false	false	false	false	false	false	null	null	null	null	null
DM_000023	58.6	Female	false	Rural	null	27.2	Overweight	false	false	true	true	null	false	false	false	Diabetic	true	1.5	true	Metformin	Good	135	6.9	239	157	56	262	1.31	true	false	false	false	false	false	null	null	null	null	null
DM_000024	45.2	Female	false	Urban	Primary	21.2	Normal	false	false	false	false	null	false	false	false	Prediabetes	false	null	false	null	null	115	6.2	216	125	53	40	0.86	false	false	false	false	false	false	null	null	null	null	null
DM_000025	51.1	Female	false	Rural	Primary	23.1	Normal	true	false	true	false	null	false	false	false	Normal	false	null	false	null	null	99	5.6	197	134	46	40	0.71	false	false	false	false	false	false	null	null	null	null	null
DM_000026	66.5	Female	false	Rural	Higher	23.9	Normal	true	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	252	7.5	266	136	40	230	0.52	false	false	false	false	false	false	null	null	null	null	null
DM_000027	47.2	Male	false	Rural	Primary	21.6	Normal	false	false	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	163	6.5	158	108	48	128	1.08	true	false	false	false	false	false	null	null	null	null	null
DM_000028	49.4	Female	false	Urban	Secondary	30.6	Obese I	false	true	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	126	7	243	187	37	227	1.11	false	false	false	false	false	false	null	null	null	null	null
DM_000029	48.4	Female	false	Rural	null	18.1	Normal	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	147	9	212	175	32	210	1.47	false	false	false	false	false	false	null	null	null	null	null
DM_000030	69.3	Male	false	Urban	Secondary	23	Normal	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	163	8	202	146	26	154	1.25	false	false	false	false	false	false	null	null	null	null	null
DM_000031	68.3	Male	false	Rural	Secondary	26	Overweight	false	false	true	false	null	false	false	false	Diabetic	true	3.2	false	null	null	259	11.4	250	179	40	215	1.15	false	false	false	false	false	false	null	null	null	null	null
DM_000032	50	Male	false	Urban	Secondary	27.2	Overweight	false	false	true	true	null	false	false	false	Prediabetes	false	null	false	null	null	111	6.1	165	135	39	99	0.99	false	false	false	false	false	false	null	null	null	null	null
DM_000033	55.3	Male	false	Rural	Secondary	23.4	Normal	false	false	false	false	null	false	false	false	Normal	false	null	false	null	null	99	5.6	187	89	68	79	0.87	false	false	false	false	false	false	null	null	null	null	null
DM_000034	48.7	Female	false	Rural	Higher	23.1	Normal	true	false	true	true	null	false	false	false	Prediabetes	false	null	false	null	null	119	6.4	185	130	63	59	0.91	false	false	false	false	false	false	null	null	null	null	null
DM_000035	62.3	Male	false	Rural	Secondary	25	Overweight	false	false	false	true	null	false	false	false	Prediabetes	false	null	false	null	null	116	6.1	192	146	66	170	0.5	false	false	false	false	false	false	null	null	null	null	null
DM_000036	37.8	Male	false	Rural	null	25.9	Overweight	false	false	true	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	130	8.9	142	132	33	297	0.68	false	false	false	false	false	false	null	null	null	null	null
DM_000037	44.3	Male	false	Urban	Secondary	28	Overweight	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	131	11.6	218	179	65	146	1.28	false	false	false	false	false	false	null	null	null	null	null
DM_000038	65.6	Male	false	Rural	Secondary	18.9	Normal	true	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	139	8.9	224	123	66	180	0.84	false	false	false	false	false	false	null	null	null	null	null
DM_000039	69.6	Male	false	Rural	Primary	18.7	Normal	true	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	170	9.8	280	129	34	101	1.02	true	false	false	false	false	false	null	null	null	null	null
DM_000040	48.8	Female	false	Rural	Primary	34.7	Obese I	true	false	false	false	null	false	false	false	Diabetic	true	0.1	true	Sulfonylurea	Good	112	6.2	188	184	28	121	0.61	false	false	false	false	false	false	null	null	null	null	null
DM_000041	73.3	Female	false	Rural	Higher	32.2	Obese I	true	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	126	6.5	208	157	43	233	1.02	false	false	false	false	false	false	null	null	null	null	null
DM_000042	55.2	Female	false	Rural	Primary	23.8	Normal	false	false	false	true	null	false	false	false	Prediabetes	false	null	false	null	null	105	5.8	225	151	48	166	0.54	false	false	false	false	false	false	null	null	null	null	null
DM_000043	37.5	Male	false	Urban	Secondary	23.9	Normal	false	false	true	true	null	false	false	false	Diabetic	true	0.5	true	Metformin	Moderate	121	6.8	160	103	38	330	0.94	false	false	false	false	false	false	null	null	null	null	null
DM_000044	61.2	Male	false	Urban	Primary	20.9	Normal	false	false	false	true	null	false	false	false	Diabetic	true	4.1	false	null	null	204	8.9	189	115	48	310	1.05	true	false	false	false	false	false	null	null	null	null	null
DM_000045	67.2	Male	false	Rural	Primary	20.9	Normal	false	false	false	true	null	false	false	false	Diabetic	true	1.2	false	null	null	220	9	211	151	43	189	1.05	false	false	false	false	false	false	null	null	null	null	null
DM_000046	40.2	Female	false	Rural	Primary	29	Overweight	false	false	true	false	null	false	false	false	Normal	false	null	false	null	null	98	5.6	136	130	54	142	0.69	false	false	false	false	false	false	null	null	null	null	null
DM_000047	39.3	Male	false	Urban	Higher	24.1	Normal	false	false	true	true	null	false	false	false	Prediabetes	false	null	false	null	null	106	6.4	209	110	62	95	0.5	false	false	false	false	false	false	null	null	null	null	null
DM_000048	44.1	Female	false	Rural	null	26.3	Overweight	true	false	false	true	null	false	false	false	Diabetic	true	3.6	true	Sulfonylurea	Poor	136	7.6	220	169	40	195	0.88	true	false	false	false	false	false	null	null	null	null	null
DM_000049	57.1	Male	false	Rural	Secondary	23.2	Normal	true	false	true	false	null	false	false	false	Prediabetes	false	null	false	null	null	116	5.8	199	151	49	146	0.87	false	false	false	false	false	false	null	null	null	null	null
DM_000050	44.6	Female	false	Rural	Primary	24.8	Normal	false	false	false	false	null	false	false	false	Normal	false	null	false	null	null	84	5.6	169	88	46	206	1.19	false	false	false	false	false	false	null	null	null	null	null
DM_000051	71.1	Male	false	Urban	Secondary	27.3	Overweight	false	false	false	true	null	false	false	false	Diabetic	true	4.2	true	Metformin	Moderate	150	8.5	190	113	42	171	0.73	false	false	false	false	false	false	null	null	null	null	null
DM_000052	50.7	Female	false	Urban	Secondary	31.8	Obese I	true	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	175	7.8	208	175	39	95	1.52	false	false	false	false	false	false	null	null	null	null	null
DM_000053	31.6	Female	false	Rural	Higher	33.5	Obese I	true	false	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	132	6.5	256	125	43	50	1.08	false	false	false	false	false	false	null	null	null	null	null
DM_000054	61.7	Male	false	Urban	Higher	26.6	Overweight	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	188	8.6	212	164	47	377	0.75	false	false	false	false	false	false	null	null	null	null	null
DM_000055	44.4	Female	false	Rural	Primary	24.5	Normal	true	false	true	false	null	false	false	false	Normal	false	null	false	null	null	83	5.6	233	80	43	125	0.51	false	false	false	false	false	false	null	null	null	null	null
DM_000056	74.6	Female	false	Rural	Primary	27.1	Overweight	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	145	6.5	223	180	29	164	1.47	true	false	false	false	false	false	null	null	null	null	null
DM_000057	49.8	Female	false	Rural	Primary	19.9	Normal	true	false	true	false	null	false	false	false	Normal	false	null	false	null	null	96	5.1	167	115	30	176	0.7	false	false	false	false	false	false	null	null	null	null	null
DM_000058	37.9	Male	false	Urban	Secondary	33.1	Obese I	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	190	7	212	141	51	275	1.03	false	false	false	false	false	false	null	null	null	null	null
DM_000059	43.6	Female	false	Urban	Secondary	40	Obese II+	true	true	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	176	9.5	244	118	38	305	0.73	false	false	false	false	false	false	null	null	null	null	null
DM_000060	46	Female	false	Rural	null	18.2	Normal	true	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	218	8	179	193	48	173	0.89	false	false	false	false	false	false	null	null	null	null	null
DM_000061	51.4	Female	false	Urban	Secondary	20	Normal	false	false	false	true	null	false	false	false	Diabetic	true	7.1	true	Sulfonylurea	Moderate	233	9	204	155	43	219	1.68	false	false	false	false	false	false	null	null	null	null	null
DM_000062	58.5	Male	false	Rural	Primary	28.4	Overweight	false	false	false	false	null	false	false	false	Diabetic	true	2.9	false	null	null	135	9.9	239	183	41	173	0.81	false	false	false	false	false	false	null	null	null	null	null
DM_000063	65.8	Female	false	Rural	Primary	20.6	Normal	true	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	161	9.6	205	206	29	255	0.91	true	false	false	false	false	false	null	null	null	null	null
DM_000064	50.6	Male	false	Urban	null	25.4	Overweight	false	false	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	166	9.1	125	171	52	103	1.19	false	false	false	false	false	false	null	null	null	null	null
DM_000065	62.2	Male	false	Rural	Primary	22.3	Normal	true	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	226	11.2	290	131	52	220	0.92	true	false	false	false	false	false	null	null	null	null	null
DM_000066	36.9	Female	false	Urban	Secondary	33	Obese I	false	false	false	false	null	false	false	false	Diabetic	true	2.7	true	Combination	Poor	191	8.4	177	87	49	189	0.58	false	false	false	false	false	false	null	null	null	null	null
DM_000067	55.3	Male	false	Urban	null	17.5	Normal	false	false	true	false	null	false	false	false	Prediabetes	false	null	false	null	null	116	5.9	177	78	47	168	0.93	false	false	false	false	false	false	null	null	null	null	null
DM_000068	69.3	Male	false	Rural	Primary	28.7	Overweight	false	false	false	false	null	false	false	false	Diabetic	true	3.1	true	Insulin	Good	124	6.6	209	148	31	202	0.9	true	false	false	false	false	false	null	null	null	null	null
DM_000069	43	Male	false	Urban	Secondary	22.5	Normal	false	false	false	true	null	false	false	false	Prediabetes	false	null	false	null	null	114	6	133	161	54	52	0.88	false	false	false	false	false	false	null	null	null	null	null
DM_000070	38.1	Female	false	Rural	Primary	22.6	Normal	true	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	186	6.5	148	139	35	181	0.96	false	false	false	false	false	false	null	null	null	null	null
DM_000071	29.2	Male	false	Rural	Secondary	27.8	Overweight	true	false	true	true	null	false	false	false	Diabetic	true	0.1	true	Sulfonylurea	Poor	157	6.5	280	117	26	127	1.05	false	false	false	false	false	false	null	null	null	null	null
DM_000072	52.8	Female	false	Rural	Primary	21.3	Normal	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	166	6.5	266	196	31	137	1.14	false	false	false	false	false	false	null	null	null	null	null
DM_000073	59.2	Female	false	Urban	Higher	26.7	Overweight	false	false	true	false	null	false	false	false	Diabetic	true	3.8	false	null	null	126	10.7	182	142	39	180	1.36	true	false	false	false	false	false	null	null	null	null	null
DM_000074	30.5	Female	false	Rural	Primary	27	Overweight	false	false	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	157	10.9	167	159	33	339	1.03	true	false	false	false	false	false	null	null	null	null	null
DM_000075	28	Female	false	Urban	null	23	Normal	false	false	true	false	null	false	false	false	Normal	false	null	false	null	null	90	5	172	145	48	136	1.17	false	false	false	false	false	false	null	null	null	null	null
DM_000076	42.3	Female	false	Urban	Primary	26.7	Overweight	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	131	8.4	287	143	33	189	1.17	false	false	false	false	false	false	null	null	null	null	null
DM_000077	29	Male	false	Rural	Primary	22.8	Normal	false	false	true	false	null	false	false	false	Normal	false	null	false	null	null	77	5.2	173	133	50	52	0.87	false	false	false	false	false	false	null	null	null	null	null
DM_000078	55.4	Female	false	Rural	Secondary	30.4	Obese I	true	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	202	9	298	144	38	93	0.84	false	false	false	false	false	false	null	null	null	null	null
DM_000079	75.3	Female	false	Urban	Primary	28.5	Overweight	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	148	7.4	242	133	47	186	1.3	false	false	false	false	false	false	null	null	null	null	null
DM_000080	52.4	Female	false	Rural	null	22.4	Normal	false	false	true	true	null	false	false	false	Diabetic	true	3.7	false	null	null	156	10.4	175	186	30	262	0.58	true	false	false	false	false	false	null	null	null	null	null
DM_000081	55.3	Male	false	Rural	Primary	29	Overweight	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	126	8.9	262	166	38	223	1.12	false	false	false	false	false	false	null	null	null	null	null
DM_000082	44.6	Female	false	Urban	Secondary	32.7	Obese I	true	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	168	9.7	235	130	48	127	1.03	false	false	false	false	false	false	null	null	null	null	null
DM_000083	49.3	Male	false	Urban	Primary	23.1	Normal	false	false	false	true	null	false	false	false	Diabetic	true	1.3	true	Metformin	Good	145	6.7	198	138	52	179	1.63	false	false	false	false	false	false	null	null	null	null	null
DM_000084	56.9	Male	false	Rural	null	20.6	Normal	true	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	215	8.3	220	166	29	238	1.14	false	false	false	false	false	false	null	null	null	null	null
DM_000085	48.3	Male	false	Rural	Primary	24.5	Normal	false	false	true	true	null	false	false	false	Normal	false	null	false	null	null	95	5.5	198	193	30	114	0.92	false	false	false	false	false	false	null	null	null	null	null
DM_000086	50.1	Female	false	Urban	Primary	21.8	Normal	false	true	false	false	null	false	false	false	Diabetic	true	4.5	true	Sulfonylurea	Moderate	209	10.4	211	151	50	77	0.65	false	false	false	false	false	false	null	null	null	null	null
DM_000087	48.1	Male	false	Urban	Primary	27.5	Overweight	false	false	true	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	221	10.8	199	157	32	84	0.95	false	false	false	false	false	false	null	null	null	null	null
DM_000088	70.5	Female	false	Urban	Secondary	20.4	Normal	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	235	6.5	168	127	47	277	0.5	true	false	false	false	false	false	null	null	null	null	null
DM_000089	70.6	Female	false	Rural	Secondary	20.9	Normal	false	false	false	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	190	6.6	242	173	41	225	0.5	false	false	false	false	false	false	null	null	null	null	null
DM_000090	47.6	Male	false	Urban	Secondary	27.2	Overweight	false	false	false	false	null	false	false	false	Diabetic	true	2.8	false	null	null	217	9.3	195	178	34	104	0.99	true	false	false	false	false	false	null	null	null	null	null
DM_000091	49.8	Male	false	Rural	null	26.2	Overweight	true	false	true	false	null	false	false	false	Diabetic	true	2.6	false	null	null	186	9.1	195	112	46	268	1.29	false	false	false	false	false	false	null	null	null	null	null
DM_000092	48.8	Male	false	Rural	null	17.4	Normal	false	false	false	false	null	false	false	false	Normal	false	null	false	null	null	99	5.2	120	86	57	136	1.01	false	false	false	false	false	false	null	null	null	null	null
DM_000093	59.6	Male	false	Urban	Higher	26.1	Overweight	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	164	6.5	186	178	48	255	0.91	false	false	false	false	false	false	null	null	null	null	null
DM_000094	34.8	Male	false	Urban	Secondary	32.1	Obese I	false	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	195	9.6	201	153	45	246	1.39	false	false	false	false	false	false	null	null	null	null	null
DM_000095	55.5	Female	false	Rural	Primary	30.5	Obese I	true	false	true	true	null	false	false	false	Diabetic	true	1.4	false	null	null	126	10.2	221	157	55	220	1.1	false	false	false	false	false	false	null	null	null	null	null
DM_000096	49.5	Female	false	Urban	Secondary	29.6	Overweight	true	false	false	true	null	false	false	false	Diabetic	true	0.1	true	Metformin	Good	140	6.4	228	146	28	262	0.73	true	false	false	false	false	false	null	null	null	null	null
DM_000097	55.5	Female	false	Urban	Higher	28.1	Overweight	false	false	true	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	261	10	201	157	26	169	1.13	false	false	false	false	false	false	null	null	null	null	null
DM_000098	48.4	Male	false	Rural	Secondary	23.1	Normal	true	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	126	7.6	247	162	37	299	0.78	true	false	false	false	false	false	null	null	null	null	null
DM_000099	46.7	Male	false	Urban	Primary	25.4	Overweight	false	false	false	false	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	150	6.9	199	137	61	128	1.02	false	false	false	false	false	false	null	null	null	null	null
DM_000100	42.8	Male	false	Rural	null	21.7	Normal	true	false	true	true	null	false	false	false	Diabetic	false	null	false	Undiagnosed	null	160	10.9	192	157	50	101	0.51	false	false	false	false	false	false	null	null	null	null	null

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African Diabetes Synthetic Dataset

Type 2 Diabetes & Gestational Diabetes Prediction

Version: 1.0
Release Date: November 2024
Context: Sub-Saharan Africa (24M adults with diabetes, projected 55M by 2045)
License: Research & Educational Use

Abstract

We present synthetic datasets for Type 2 Diabetes Mellitus (T2DM) and Gestational Diabetes Mellitus (GDM) modeling in Sub-Saharan Africa, addressing the rising NCD epidemic. With diabetes prevalence of 4-7% (urban: 8-12%) and 60-70% undiagnosed, early screening is critical. The datasets incorporate established risk factors with documented ORs: obesity BMI >30 (OR 7.19), family history (OR 3.50), previous GDM (OR 7.43), physical inactivity (OR 2.20), and hypertension (OR 2.50). For GDM, additional factors include previous macrosomia (OR 6.40), PCOS (OR 3.70), and maternal age >35 (OR 3.75). Seven datasets (25,000 samples total, 8.5 MB) provide configurations for population screening, urban high-risk cohorts, GDM antenatal prediction, and complication modeling. Models trained on these data are expected to achieve AUC-ROC >0.83 for diabetes risk prediction and >0.78 for complication onset, serving as proof-of-concept for primary care screening algorithms and antenatal GDM programs in African settings where diabetes remains severely underdiagnosed and undertreated.

Keywords: Type 2 Diabetes, Gestational Diabetes, GDM, Screening, Prevention, Complications, African Health, NCDs

Key Features

Risk Factors (Evidence-Based ORs)

Type 2 Diabetes:

Obesity (BMI >30): OR 7.19 (strongest modifiable risk)
Family history (1st degree): OR 3.50
Previous GDM: OR 7.43
Physical inactivity: OR 2.20
Hypertension: OR 2.50
Age >45 years: OR 2.75
Urbanization: OR 2.40
Overweight (BMI 25-30): OR 2.89

Gestational Diabetes:

Previous GDM: OR 13.20 (strongest predictor)
BMI >35: OR 8.56
Previous macrosomia (baby >4kg): OR 6.40
Family history diabetes: OR 4.90
Maternal age >35: OR 3.75
PCOS: OR 3.70
HIV infection (African context): OR 1.65

Clinical Parameters

Fasting glucose: Normal <100, Prediabetes 100-125, Diabetes ≥126 mg/dL
HbA1c: Normal <5.7%, Prediabetes 5.7-6.4%, Diabetes ≥6.5%
Lipid profiles: Total cholesterol, LDL, HDL, triglycerides
Renal function: Creatinine, microalbuminuria (nephropathy marker)

Complications Modeled (5-10 Years Post-Diagnosis)

Diabetic retinopathy: 25-35% at diagnosis → 60-80% by 20 years
Diabetic nephropathy: 20-40% develop microalbuminuria
Diabetic neuropathy: 30-50% prevalence
Cardiovascular disease: OR 2-4 vs non-diabetics
Diabetic foot ulcers: 15-25% lifetime risk

GDM Maternal/Fetal Outcomes

Preeclampsia: OR 4.00 (synergy with our preeclampsia dataset!)
Cesarean delivery: OR 1.50
Macrosomia: OR 3.23
Neonatal hypoglycemia: OR 7.40
NICU admission: OR 2.30
Progression to T2DM: 35-50% within 5 years

African Context

Undiagnosed rate: 60-70% (vs 30% globally)
Late presentation: 50-60% diagnosed with complications already present
Medication access: Only 40-60% on any diabetes medication
HbA1c monitoring: <30% have regular testing
Good glycemic control (HbA1c <7%): Only 20-30% of patients
Traditional medicine use: 40-60% alongside/instead of conventional treatment

Dataset Collection

Dataset Inventory

Dataset	N	Diabetic	Prediabetic	Diagnosed	Complications	Use Case
`diabetes_t2dm_africa_baseline_1000`	1,000	754 (75%)	126 (13%)	254 (34%)	46 (6%)	Prototyping
`diabetes_t2dm_africa_large_5000`	5,000	3,703 (74%)	685 (14%)	1,272 (34%)	200 (5%)	Main training
`diabetes_t2dm_africa_extra_large_10000`	10,000	7,458 (75%)	1,339 (13%)	2,559 (34%)	438 (6%)	Deep learning
`diabetes_t2dm_africa_urban_high_risk_2000`	2,000	1,494 (75%)	255 (13%)	529 (35%)	87 (6%)	Urban screening
`diabetes_t2dm_africa_test_2000`	2,000	1,477 (74%)	280 (14%)	522 (35%)	90 (6%)	Validation
`diabetes_gdm_africa_antenatal_2000`	2,000	1,232 (62%)	351 (18%)	429 (35%)	36 (3%)	GDM screening
`diabetes_gdm_africa_large_5000`	5,000	3,041 (61%)	899 (18%)	1,075 (35%)	106 (4%)	GDM training

Note: Prevalence enriched to enable ML training. T2DM baseline prevalence 7%, urban 13%, GDM 10%.

Expected Model Performance

Diabetes Risk Prediction

Logistic Regression: AUC 0.79-0.83
Random Forest: AUC 0.83-0.89
XGBoost: AUC 0.86-0.92

Prediabetes Detection

Multi-class F1: 0.72-0.80

Complication Prediction (Diagnosed Diabetics)

Retinopathy/Nephropathy: AUC 0.76-0.84
CVD risk: AUC 0.78-0.86

GDM Prediction

Antenatal screening: AUC 0.81-0.88
Adverse outcomes: AUC 0.74-0.82

Top Predictive Features

BMI/obesity status
Family history of diabetes
Age
Previous GDM (women)
Physical activity level
Hypertension
Urban vs rural residence
Fasting glucose (if available)
Previous macrosomia (GDM)
Parity (GDM)

Usage Example

import pandas as pd
from sklearn.ensemble import RandomForestClassifier

# Load data
train = pd.read_csv('diabetes_t2dm_africa_large_5000.csv')
test = pd.read_csv('diabetes_t2dm_africa_test_2000.csv')

# Diabetes Risk Prediction
features = ['age', 'bmi', 'family_history_diabetes', 
            'physically_active', 'has_hypertension',
            'residence', 'previous_gdm']

# Encode categoricals
from sklearn.preprocessing import LabelEncoder
for col in ['residence']:
    le = LabelEncoder()
    train[col] = le.fit_transform(train[col])
    test[col] = le.transform(test[col])

# Binary target: Diabetic vs Non-diabetic
X_train = train[features]
y_train = (train['diabetes_status'] == 'Diabetic').astype(int)

# Train
model = RandomForestClassifier(n_estimators=100, class_weight='balanced')
model.fit(X_train, y_train)

# Expected AUC: 0.83-0.89

Clinical Applications

Primary Care Screening

Risk stratification: Identify high-risk individuals for OGTT
Resource allocation: Target limited glucose testing capacity
Prevention programs: Lifestyle intervention prioritization

Antenatal Care (GDM)

Early screening: Identify women needing OGTT at booking
Intervention timing: Optimize diet/medication initiation
Postpartum follow-up: T2DM progression prediction

Complication Prevention

Retinopathy screening: Identify patients needing ophthalmology referral
Nephropathy monitoring: Prioritize microalbuminuria testing
Foot care programs: Target high-risk patients

Public Health Planning

NCD burden estimation: Forecast diabetes prevalence by region
Medication supply: Metformin, insulin demand forecasting
HbA1c lab capacity: Testing scale-up planning

Limitations

What This Dataset IS:

✅ Population screening risk stratification
✅ Prevention program targeting (lifestyle, metformin)
✅ GDM antenatal prediction modeling
✅ Complication risk assessment

What This Dataset IS NOT:

❌ Replacement for OGTT (gold standard diagnosis)
❌ Including continuous glucose monitoring data
❌ Capturing medication side effects
❌ Modeling dietary/cultural factors precisely

Mandatory Next Steps:

Prospective validation in African primary care
Integration with existing NCD screening programs
Calibration to region-specific prevalence
Ethical review for clinical algorithm deployment

Citation

African Diabetes Synthetic Dataset (2024)
Type 2 Diabetes and Gestational Diabetes prediction modeling
Version 1.0, Generated November 2024
Organization: Electric Sheep Africa
License: CC-BY-4.0

Primary Sources:

IDF Diabetes Atlas 2021 (Africa regional data)
Atun et al., Lancet Diabetes Endocrinol 2017 (SSA diabetes)
WHO GDM Diagnostic Criteria 2013
Macaulay et al., Int J Gynaecol Obstet 2014 (GDM Africa)
WINGS Study (Nigeria, Ghana, Kenya cohorts)

Quick Reference

T2DM Risk Features (7):

features = ['age', 'bmi', 'family_history_diabetes',
            'physically_active', 'has_hypertension',
            'previous_gdm', 'residence']

GDM Risk Features (9):

features = ['age', 'bmi', 'family_history_diabetes',
            'previous_gdm', 'parity', 'previous_macrosomia',
            'pcos', 'hiv_positive', 'residence']

Targets:

Classification: diabetes_status (Normal/Prediabetes/Diabetic)
Glucose values: fasting_glucose_mg_dl, hba1c_percent
Complications: retinopathy, nephropathy, neuropathy, cardiovascular_disease

Expected Performance:

Diabetes risk: AUC 0.83-0.92
GDM prediction: AUC 0.81-0.88
Complications: AUC 0.76-0.86

Status: Research Use Only - Prospective Validation Required
Last Updated: November 7, 2024
Contact: https://huggingface.co/electricsheepafrica

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