Datasets:

TabBioMed
/

Diabetes_UCI

row_idx int64	f_0_race string	f_1_gender string	f_2_admission_type_id string	f_3_discharge_disposition_id string	f_4_admission_source_id string	f_5_time_in_hospital int64	f_6_medical_specialty string	f_7_num_lab_procedures int64	f_8_num_procedures int64	f_9_num_medications int64	f_10_number_outpatient int64	f_11_number_emergency int64	f_12_number_inpatient int64	f_13_number_diagnoses int64	f_14_max_glu_serum string	f_15_A1Cresult string	f_16_metformin string	f_17_repaglinide string	f_18_nateglinide string	f_19_chlorpropamide string	f_20_glimepiride string	f_21_acetohexamide string	f_22_glipizide string	f_23_glyburide string	f_24_tolbutamide string	f_25_pioglitazone string	f_26_rosiglitazone string	f_27_acarbose string	f_28_miglitol string	f_29_troglitazone string	f_30_tolazamide string	f_31_insulin string	f_32_glyburide_metformin string	f_33_glipizide_metformin string	f_34_metformin_rosiglitazone string	f_35_metformin_pioglitazone string	f_36_change int64	f_37_diabetesMed int64	f_38_diag_1_group string	f_39_age_group string	target int64
49,926	Caucasian	Male	1	3	7	6	Missing	1	2	18	0	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	0	1	Respiratory	[60-100)	0
20,819	Caucasian	Female	1	1	7	1	InternalMedicine	38	1	5	1	0	0	4	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Digestive	[60-100)	0
4,845	Caucasian	Male	2	1	1	2	Cardiology	16	1	13	0	0	0	6	Not Measured	Not Measured	Steady	No	No	No	No	No	No	Steady	No	No	Steady	No	No	No	No	No	No	No	No	No	1	1	Circulatory	[60-100)	1
29,672	Caucasian	Male	1	22	7	4	Missing	60	1	15	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Injury	[60-100)	1
40,474	Caucasian	Female	1	1	7	7	InternalMedicine	68	3	27	0	0	2	9	Not Measured	Not Measured	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	Steady	No	No	No	No	1	1	Circulatory	[60-100)	0
49,061	Caucasian	Female	3	1	1	1	Orthopedics	4	1	22	1	1	0	8	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Steady	No	No	No	No	1	1	Injury	[30-60)	0
8,819	Missing	Male	2	1	1	3	Pulmonology	36	0	10	0	0	0	2	Not Measured	Not Measured	Steady	No	No	No	No	No	No	Steady	No	Steady	No	No	No	No	No	Steady	No	No	No	No	1	1	Diabetes	[30-60)	0
19,857	Caucasian	Female	1	22	7	4	InternalMedicine	45	0	9	0	0	0	8	Not Measured	>8	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Circulatory	[30-60)	0
27,114	Caucasian	Male	2	1	7	1	Emergency/Trauma	10	0	10	0	1	0	7	Not Measured	>8	Steady	No	No	No	Steady	No	No	No	No	No	Steady	No	No	No	No	Steady	No	No	No	No	1	1	Circulatory	[60-100)	0
46,747	Caucasian	Male	2	1	1	2	InternalMedicine	17	0	3	0	0	0	4	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Injury	[60-100)	0
14,109	Caucasian	Female	1	1	7	11	InternalMedicine	65	2	12	0	0	0	4	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Circulatory	[0-30)	0
23,031	Caucasian	Female	5	3	17	6	Family/GeneralPractice	25	0	23	0	0	0	8	>300	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Respiratory	[60-100)	0
6,978	Caucasian	Female	3	1	1	1	ObstetricsandGynecology	22	3	8	0	0	0	4	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Other	[30-60)	0
22,742	Caucasian	Female	5	6	17	2	Missing	11	0	9	0	1	1	9	>300	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Diabetes	[60-100)	0
56,571	Caucasian	Female	1	6	7	4	Missing	62	0	7	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Genitourinary	[0-30)	0
1,104	Caucasian	Male	2	1	1	5	Surgery-Cardiovascular/Thoracic	49	3	23	0	0	0	9	Not Measured	Not Measured	Steady	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	1	1	Circulatory	[30-60)	0
54,963	Caucasian	Male	3	3	7	4	Emergency/Trauma	8	0	13	0	0	0	8	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Circulatory	[60-100)	0
63,857	Caucasian	Female	1	6	7	5	Cardiology	55	0	18	1	0	0	9	Not Measured	>8	Down	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	1	1	Circulatory	[60-100)	0
5,179	Caucasian	Male	3	1	1	3	Orthopedics-Reconstructive	12	2	16	0	0	0	4	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Injury	[60-100)	0
23,080	Caucasian	Female	6	1	17	4	Family/GeneralPractice	58	4	19	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Musculoskeletal	[60-100)	0
2,931	AfricanAmerican	Female	1	1	6	9	Cardiology	83	5	18	0	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Circulatory	[30-60)	1
55,557	Caucasian	Male	2	1	7	4	Emergency/Trauma	48	0	17	0	1	0	9	Not Measured	>7	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	0	1	Circulatory	[60-100)	0
35,136	Caucasian	Female	1	1	7	2	Missing	28	0	5	0	0	0	9	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Steady	No	No	No	No	1	1	Other	[30-60)	0
39,551	Caucasian	Female	2	1	1	3	InternalMedicine	36	0	16	0	0	0	9	Not Measured	Not Measured	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	1	1	Respiratory	[60-100)	0
68,282	AfricanAmerican	Male	2	1	7	9	Emergency/Trauma	58	0	25	0	0	0	8	Not Measured	>8	Up	No	Steady	No	Steady	No	Steady	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Respiratory	[60-100)	0
17,466	AfricanAmerican	Female	2	1	1	2	InternalMedicine	41	1	17	0	0	0	6	Not Measured	Not Measured	Steady	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Circulatory	[60-100)	0
5,150	Hispanic	Female	6	1	1	2	Missing	41	1	7	0	0	1	4	Norm	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Injury	[60-100)	0
60,296	Caucasian	Female	1	7	7	7	Missing	63	0	18	1	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Genitourinary	[60-100)	0
42,082	AfricanAmerican	Female	2	1	4	2	Missing	44	3	16	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Circulatory	[60-100)	0
656	Caucasian	Female	2	1	7	4	Missing	59	0	9	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	Steady	No	Down	No	No	No	No	No	Steady	No	No	No	No	1	1	Other	[60-100)	0
62,327	AfricanAmerican	Male	2	1	2	8	Psychiatry	48	0	11	0	0	0	7	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Other	[30-60)	0
61,988	Caucasian	Female	1	1	7	10	Emergency/Trauma	97	2	30	1	0	0	9	Not Measured	>7	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Digestive	[60-100)	0
21,708	AfricanAmerican	Female	2	3	1	8	Surgery-Cardiovascular/Thoracic	54	4	60	1	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Circulatory	[60-100)	0
30,652	Caucasian	Male	1	1	7	1	Family/GeneralPractice	42	0	10	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Circulatory	[60-100)	0
3,492	Caucasian	Female	1	3	6	9	InternalMedicine	42	0	11	0	0	0	5	Not Measured	Norm	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Respiratory	[60-100)	0
5,292	Caucasian	Male	2	1	1	3	Missing	30	0	7	0	0	0	8	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Other	[30-60)	0
45,297	Caucasian	Male	2	22	1	11	Oncology	45	2	19	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Neoplasms	[60-100)	0
22,674	Caucasian	Male	2	6	1	9	Family/GeneralPractice	43	1	18	0	0	0	9	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Other	[60-100)	0
46,159	Caucasian	Male	2	6	1	7	Family/GeneralPractice	42	1	26	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	Up	No	No	No	No	No	No	No	No	No	No	No	No	No	1	1	Other	[60-100)	0
59,774	AfricanAmerican	Male	1	1	7	3	Missing	36	0	6	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Respiratory	[60-100)	0
47,892	Caucasian	Female	1	1	7	1	Missing	28	0	3	0	0	0	3	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Digestive	[30-60)	0
12,385	AfricanAmerican	Female	2	1	1	4	ObstetricsandGynecology	36	2	22	0	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	Steady	No	No	No	Steady	No	No	No	No	No	No	No	No	No	1	1	Neoplasms	[60-100)	0
35,563	Caucasian	Female	1	3	7	3	Missing	40	0	8	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Other	[60-100)	0
63,403	Caucasian	Female	2	22	4	5	Missing	47	0	18	0	1	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Circulatory	[60-100)	0
21,582	AfricanAmerican	Female	1	1	7	3	InternalMedicine	43	1	12	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Circulatory	[60-100)	0
25,084	Caucasian	Male	3	6	1	3	Missing	16	1	29	0	0	0	9	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Musculoskeletal	[60-100)	0
52,008	Caucasian	Female	3	1	1	3	Missing	7	3	28	0	0	0	6	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Genitourinary	[30-60)	0
69,856	Caucasian	Male	1	3	7	9	Missing	69	3	13	0	0	0	9	Not Measured	>8	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Circulatory	[60-100)	0
1,716	AfricanAmerican	Male	1	1	7	4	InternalMedicine	48	2	15	0	0	0	9	Not Measured	>7	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	Down	No	No	No	No	1	1	Digestive	[60-100)	0
60,651	Caucasian	Female	1	1	7	8	Missing	71	3	13	0	0	1	9	Not Measured	>7	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Digestive	[60-100)	1
57,771	Caucasian	Male	1	1	7	2	Missing	38	6	22	0	0	0	7	Not Measured	Not Measured	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Circulatory	[30-60)	0
44	Caucasian	Male	1	6	7	3	Family/GeneralPractice	45	0	10	0	0	0	8	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Injury	[60-100)	0
340	AfricanAmerican	Male	1	18	7	1	Missing	35	0	18	0	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Respiratory	[30-60)	0
37,475	Caucasian	Male	3	1	1	3	Surgery-General	43	2	31	0	0	0	9	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	1	1	Circulatory	[60-100)	0
7,784	Caucasian	Male	1	18	7	4	Family/GeneralPractice	46	0	13	0	0	0	4	Not Measured	>8	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Up	No	No	No	No	1	1	Injury	[60-100)	0
41,877	AfricanAmerican	Female	2	1	1	1	Surgery-Vascular	2	1	11	1	0	0	6	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Circulatory	[60-100)	1
33,649	Caucasian	Male	3	1	1	5	Cardiology	34	0	9	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Circulatory	[60-100)	0
19,841	Caucasian	Male	1	1	7	6	Cardiology	48	6	20	0	0	0	9	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	1	1	Circulatory	[60-100)	0
23,469	Caucasian	Female	1	1	1	2	Missing	30	0	14	0	0	0	6	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Missing	[60-100)	0
28,598	Caucasian	Female	3	1	1	4	Missing	51	0	13	0	0	0	9	Not Measured	Norm	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Other	[60-100)	0
15,767	Other	Male	1	1	7	3	InternalMedicine	43	0	2	0	0	0	4	Not Measured	Norm	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Respiratory	[30-60)	0
57,495	Caucasian	Male	1	22	7	5	Missing	47	1	17	1	0	0	7	Not Measured	Not Measured	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Injury	[60-100)	0
13,410	Caucasian	Male	2	1	4	4	Pediatrics-CriticalCare	22	0	9	0	0	0	1	Not Measured	>8	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Diabetes	[0-30)	0
27,502	Caucasian	Female	1	1	7	1	Missing	4	0	13	0	0	0	6	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Other	[60-100)	0
10,900	Caucasian	Male	3	6	1	4	Orthopedics	38	1	16	1	0	0	6	Not Measured	Not Measured	Steady	No	No	No	Steady	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	1	1	Musculoskeletal	[60-100)	0
50,744	Caucasian	Female	6	1	17	8	InternalMedicine	64	5	28	2	0	0	7	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Circulatory	[60-100)	0
46,083	Caucasian	Male	2	1	1	3	Cardiology	23	3	7	0	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Circulatory	[60-100)	0
41,002	Caucasian	Female	2	1	1	3	InternalMedicine	41	1	16	2	0	0	5	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	Steady	No	No	No	No	1	1	Digestive	[60-100)	0
46,740	AfricanAmerican	Female	6	1	7	10	Missing	72	1	19	0	0	0	5	>300	>8	No	No	No	No	No	No	Up	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Diabetes	[60-100)	0
13,054	Caucasian	Female	2	1	1	5	Surgery-General	50	5	20	0	0	0	5	Not Measured	Not Measured	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	1	1	Circulatory	[60-100)	0
31,390	Caucasian	Female	2	1	1	10	Surgery-General	78	1	16	0	0	0	6	Not Measured	Not Measured	No	No	No	No	No	No	Up	No	No	No	Steady	No	No	No	No	No	No	No	No	No	1	1	Other	[30-60)	0
30,459	AfricanAmerican	Female	3	1	1	1	Cardiology	1	0	7	0	0	0	9	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	1	1	Respiratory	[60-100)	0
38,809	Caucasian	Male	1	1	7	4	Cardiology	71	2	18	6	0	1	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Other	[60-100)	1
54,807	Caucasian	Female	2	1	7	4	Emergency/Trauma	38	1	9	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Digestive	[60-100)	0
45,687	Caucasian	Male	8	1	1	1	Surgery-General	5	2	15	0	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Neoplasms	[60-100)	0
33,079	Caucasian	Male	3	6	1	1	Missing	40	1	12	0	0	0	8	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	1	1	Digestive	[60-100)	0
38,476	Caucasian	Female	2	6	7	3	Pediatrics	62	0	7	1	0	0	8	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Respiratory	[60-100)	0
56,019	AfricanAmerican	Female	8	1	7	1	InternalMedicine	53	1	6	0	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Circulatory	[60-100)	0
37,006	Caucasian	Male	1	1	7	4	Emergency/Trauma	42	1	20	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	1	1	Respiratory	[60-100)	0
44,476	Caucasian	Female	3	1	1	6	Missing	3	0	11	0	0	0	9	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Other	[30-60)	0
68,802	Other	Male	3	3	1	6	Missing	70	6	50	0	0	0	9	Not Measured	>7	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Circulatory	[60-100)	0
68,878	Other	Male	1	6	7	2	Missing	36	0	12	0	0	0	6	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Respiratory	[60-100)	1
67,154	AfricanAmerican	Female	1	6	7	7	InternalMedicine	75	2	15	0	0	0	9	Not Measured	>8	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Diabetes	[60-100)	0
39,190	AfricanAmerican	Female	1	1	7	2	Missing	50	0	7	0	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Digestive	[30-60)	0
9,303	Caucasian	Female	1	6	7	2	Cardiology	78	0	24	3	1	3	9	Not Measured	>8	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Circulatory	[30-60)	0
24,711	Caucasian	Female	3	1	1	1	Surgery-General	3	2	19	0	0	0	6	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Circulatory	[60-100)	1
39,455	Caucasian	Male	2	1	4	3	Radiologist	13	6	12	0	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Circulatory	[60-100)	0
9,261	Caucasian	Female	1	1	7	1	InternalMedicine	51	0	4	0	0	0	8	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Diabetes	[30-60)	0
4,815	Caucasian	Male	1	1	7	1	Family/GeneralPractice	43	0	2	0	0	0	2	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Respiratory	[30-60)	0
44,911	Caucasian	Female	1	1	7	1	Missing	11	0	13	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Steady	No	No	No	No	1	1	Respiratory	[60-100)	0
64,673	Caucasian	Male	1	2	7	1	Missing	55	1	11	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Circulatory	[60-100)	0
43,039	Caucasian	Female	5	3	1	1	Missing	32	1	7	1	0	0	8	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	1	1	Injury	[60-100)	0
29,376	Caucasian	Female	3	3	1	10	Missing	68	3	37	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	No	Down	No	No	No	No	1	1	Digestive	[60-100)	0
3,943	Caucasian	Male	1	1	7	2	Cardiology	35	3	9	0	0	0	9	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	0	Circulatory	[60-100)	1
61,124	Caucasian	Female	1	6	7	8	InternalMedicine	69	0	27	1	0	0	9	Not Measured	Not Measured	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Circulatory	[60-100)	0
22,193	Caucasian	Male	1	1	7	6	InternalMedicine	43	0	15	0	0	0	7	Not Measured	Not Measured	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	0	1	Respiratory	[60-100)	0
110	Caucasian	Female	2	1	1	6	InternalMedicine	50	2	21	0	0	0	9	Not Measured	Not Measured	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Other	[30-60)	0
59,278	AfricanAmerican	Female	1	6	7	12	Missing	73	6	61	2	0	0	9	Not Measured	Norm	Steady	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Up	No	No	No	No	1	1	Circulatory	[30-60)	0
45,281	Caucasian	Male	3	1	1	1	Cardiology	4	6	13	2	0	0	5	Not Measured	Not Measured	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Circulatory	[60-100)	0
20,941	Caucasian	Male	5	3	17	6	Cardiology	24	2	21	3	0	0	7	Norm	Not Measured	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	0	1	Circulatory	[30-60)	0

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Diabetes_UCI

Part of TabBioMed (TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning), a benchmark of 94 curated biomedical tabular datasets. Code, preprocessing and documentation: https://github.com/AI-sandbox/TabBioMed.

UCI Diabetes 130-US Hospitals: 30-day readmission prediction at discharge. Retain the complete earliest encounter per patient, including unmeasured HbA1c/glucose; never fill fields from later encounters. Exclude discharge codes 11, 13, 14, 19, 20 and 21. Group the primary ICD-9 diagnosis and age bands; drop secondary/tertiary diagnoses, weight, payer code and identifiers. Admission type, discharge disposition and admission source are nominal categories despite their integer source codes. The general pipeline drops three constant medication columns, leaving 40 features for 69,973 distinct patients. Preserve the stored stratified 70/15/15 fixed split. Unmeasured HbA1c/glucose are explicit Not Measured categories; unknown race/specialty are explicit Missing categories. Encoding/scaling is fitted on training data.

Domain	Task	Samples	Features	Classes
Clinical & Healthcare	binary	69,973	40	2

Splits. Fixed train/val/test split (48981/10496/10496 rows).

Files

data/**.parquet: one row per sample. row_idx is the row index in the original TabBioMed array; f_<i>[_<name>] are the features (in order); target (or target_<j> for multi-target tasks) is the label. Categorical feature indices (0-based, among the features): [37, 36, 0, 1, 2, 3, 4, 6, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 38, 39]. Missing values are stored as nulls.
metadata.json: TabBioMed task metadata (task type, categorical indices, source, description).
feature_names.json: original feature names, in column order.
sample_metadata.csv: per-row provenance (identifiers, source annotations); not features.

from datasets import load_dataset
ds = load_dataset("TabBioMed/Diabetes_UCI")

A Croissant (1.1) description with Responsible-AI fields is distributed with the TabBioMed release.

Source and license

Source: UCI Diabetes

This derived dataset is distributed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Please also cite and respect the terms of the original source.

Citation

@inproceedings{tabbiomed2026,
  title     = {TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning},
  author    = {Mateo Bernad{\'o}, Pau and Polapragada, Saivenkata Nagavyjayanthi and Bonet, David and Arbiol Rakuljic, Pol and Mogas Pladevall, Laia and Comajoan Cara, Mar{\c{c}}al and Gonzalez Ferrer, Jesus and Abante, Jordi and Mas Montserrat, Daniel and Haussler, David and Ioannidis, Alexander G.},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track},
  year      = {2026}
}

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