Data Report — Diabetes 130-US Hospitals for Years 1999-2008

SemMap JSON-LD: dataset.semmap.json · RDFa HTML

Overview

Metric	Value
Dataset	Diabetes 130-US Hospitals for Years 1999-2008
Source	UCI dataset 296
Rows	101,766
Columns	48
Discrete	42
Continuous	6
SemMap	SemMap JSON-LD SemMap HTML
Missingness	Not modeled

Variables and summary

variable	inferred	dist
race	discrete	Caucasian [Caucasian]: 77840 (76.49%) African American [AfricanAmerican]: 19622 (19.28%) Hispanic [Hispanic]: 2094 (2.06%) Other [Other]: 1542 (1.52%) Asian [Asian]: 668 (0.66%)
gender	discrete	Female [Female]: 54708 (53.76%) Male [Male]: 47055 (46.24%) Unknown/Invalid [Unknown/Invalid]: 3 (0.00%)
age	discrete	[70-80): 26068 (25.62%) [60-70): 22483 (22.09%) [50-60): 17256 (16.96%) [80-90): 17197 (16.90%) [40-50): 9685 (9.52%) [30-40): 3775 (3.71%) [90-100): 2793 (2.74%) [20-30): 1657 (1.63%) [10-20): 691 (0.68%) [0-10): 161 (0.16%)
weight	discrete	[75-100): 44067 (43.30%) [50-75): 28250 (27.76%) [100-125): 18437 (18.12%) [125-150): 4899 (4.81%) [25-50): 2915 (2.86%) [0-25): 1828 (1.80%) [150-175): 937 (0.92%) [175-200): 366 (0.36%) >200: 67 (0.07%)
admission_type_id	discrete	1: 53990 (53.05%) 3: 18869 (18.54%) 2: 18480 (18.16%) 6: 5291 (5.20%) 5: 4785 (4.70%) 8: 320 (0.31%) 7: 21 (0.02%) 4: 10 (0.01%)
discharge_disposition_id	continuous	3.7156 ± 5.2802 [1, 1, 1, 4, 28]
admission_source_id	discrete	7: 57494 (56.50%) 1: 29565 (29.05%) 17: 6781 (6.66%) 4: 3187 (3.13%) 6: 2264 (2.22%) 2: 1104 (1.08%) 5: 855 (0.84%) 3: 187 (0.18%) 20: 161 (0.16%) 9: 125 (0.12%) … (+7 more)
time_in_hospital	discrete	3: 17756 (17.45%) 2: 17224 (16.93%) 1: 14208 (13.96%) 4: 13924 (13.68%) 5: 9966 (9.79%) 6: 7539 (7.41%) 7: 5859 (5.76%) 8: 4391 (4.31%) 9: 3002 (2.95%) 10: 2342 (2.30%) … (+4 more)
payer_code	discrete	MC: 65018 (63.89%) HM: 7934 (7.80%) SP: 6136 (6.03%) BC: 5963 (5.86%) MD: 4711 (4.63%) UN: 3360 (3.30%) CP: 3143 (3.09%) CM: 2283 (2.24%) OG: 1204 (1.18%) PO: 703 (0.69%) … (+7 more)
medical_specialty	discrete	InternalMedicine: 26599 (26.14%) Emergency/Trauma: 18817 (18.49%) Family/GeneralPractice: 13744 (13.51%) Cardiology: 10034 (9.86%) Surgery-General: 6145 (6.04%) Radiologist: 3291 (3.23%) Orthopedics: 2999 (2.95%) Nephrology: 2867 (2.82%) Orthopedics-Reconstructive: 1965 (1.93%) Pulmonology: 1642 (1.61%) … (+62 more)
num_lab_procedures	continuous	43.0956 ± 19.6744 [1, 31, 44, 57, 132]
num_procedures	discrete	0: 46652 (45.84%) 1: 20742 (20.38%) 2: 12717 (12.50%) 3: 9443 (9.28%) 6: 4954 (4.87%) 4: 4180 (4.11%) 5: 3078 (3.02%)
num_medications	continuous	16.0218 ± 8.1276 [1, 10, 15, 20, 81]
number_outpatient	continuous	0.3694 ± 1.2673 [0, 0, 0, 0, 42]
number_emergency	continuous	0.1978 ± 0.9305 [0, 0, 0, 0, 76]
number_inpatient	continuous	0.6356 ± 1.2629 [0, 0, 0, 1, 21]
diag_1	discrete	428: 6863 (6.74%) 414: 6584 (6.47%) 786: 4017 (3.95%) 410: 3616 (3.55%) 486: 3509 (3.45%) 427: 2768 (2.72%) 491: 2275 (2.24%) 715: 2151 (2.11%) 682: 2042 (2.01%) 434: 2029 (1.99%) … (+706 more)
diag_2	discrete	276: 6773 (6.66%) 428: 6687 (6.57%) 250: 6096 (5.99%) 427: 5048 (4.96%) 401: 3754 (3.69%) 496: 3314 (3.26%) 599: 3294 (3.24%) 403: 2836 (2.79%) 414: 2665 (2.62%) 411: 2578 (2.53%) … (+738 more)
diag_3	discrete	250: 11733 (11.53%) 401: 8424 (8.28%) 276: 5239 (5.15%) 428: 4641 (4.56%) 427: 4005 (3.94%) 414: 3718 (3.65%) 496: 2635 (2.59%) 403: 2395 (2.35%) 585: 2007 (1.97%) 272: 1992 (1.96%) … (+779 more)
number_diagnoses	discrete	9: 49474 (48.62%) 5: 11393 (11.20%) 8: 10616 (10.43%) 7: 10393 (10.21%) 6: 10161 (9.98%) 4: 5537 (5.44%) 3: 2835 (2.79%) 2: 1023 (1.01%) 1: 219 (0.22%) 16: 45 (0.04%) … (+6 more)
max_glu_serum	discrete	Norm: 40817 (40.11%) >300: 36052 (35.43%) >200: 24897 (24.46%)
A1Cresult	discrete	>8: 49610 (48.75%) Norm: 29207 (28.70%) >7: 22949 (22.55%)
metformin	discrete	No: 81778 (80.36%) Steady: 18346 (18.03%) Up: 1067 (1.05%) Down: 575 (0.57%)
repaglinide	discrete	No: 100227 (98.49%) Steady: 1384 (1.36%) Up: 110 (0.11%) Down: 45 (0.04%)
nateglinide	discrete	No: 101063 (99.31%) Steady: 668 (0.66%) Up: 24 (0.02%) Down: 11 (0.01%)
chlorpropamide	discrete	No: 101680 (99.92%) Steady: 79 (0.08%) Up: 6 (0.01%) Down: 1 (0.00%)
glimepiride	discrete	No: 96575 (94.90%) Steady: 4670 (4.59%) Up: 327 (0.32%) Down: 194 (0.19%)
acetohexamide	discrete	No: 101765 (100.00%)
glipizide	discrete	No: 89080 (87.53%) Steady: 11356 (11.16%) Up: 770 (0.76%) Down: 560 (0.55%)
glyburide	discrete	No: 91116 (89.53%) Steady: 9274 (9.11%) Up: 812 (0.80%) Down: 564 (0.55%)
tolbutamide	discrete	No: 101743 (99.98%)
pioglitazone	discrete	No: 94438 (92.80%) Steady: 6976 (6.85%) Up: 234 (0.23%) Down: 118 (0.12%)
rosiglitazone	discrete	No: 95401 (93.75%) Steady: 6100 (5.99%) Up: 178 (0.17%) Down: 87 (0.09%)
acarbose	discrete	No: 101458 (99.70%) Steady: 295 (0.29%) Up: 10 (0.01%) Down: 3 (0.00%)
miglitol	discrete	No: 101728 (99.96%) Steady: 31 (0.03%) Down: 5 (0.00%) Up: 2 (0.00%)
troglitazone	discrete	No: 101763 (100.00%)
tolazamide	discrete	No: 101727 (99.96%) Steady: 38 (0.04%) Up: 1 (0.00%)
examide	discrete	No: 101766 (100.00%)
citoglipton	discrete	No: 101766 (100.00%)
insulin	discrete	No: 47383 (46.56%) Steady: 30849 (30.31%) Down: 12218 (12.01%) Up: 11316 (11.12%)
glyburide-metformin	discrete	No: 101060 (99.31%) Steady: 692 (0.68%) Up: 8 (0.01%) Down: 6 (0.01%)
glipizide-metformin	discrete	No: 101753 (99.99%)
glimepiride-pioglitazone	discrete	No: 101765 (100.00%)
metformin-rosiglitazone	discrete	No: 101764 (100.00%)
metformin-pioglitazone	discrete	No: 101765 (100.00%)
change	discrete	No: 54755 (53.80%)
diabetesMed	discrete	Yes: 78363 (77.00%)
readmitted	discrete	NO: 54864 (53.91%) >30: 35545 (34.93%) <30: 11357 (11.16%)

Fidelity summary

model	backend	disc jsd mean	disc jsd median	cont ks mean	cont w1 mean
metasyn	metasyn	0.0793	0.0434	0.5417	1.2278
clg_mi2	pybnesian	0.0803	0.0533	0.315	1.5054
semi_mi5	pybnesian	0.0803	0.0533	0.315	1.5054
ctgan_fast	synthcity	0.2747	0.1882	0.3647	6.7779
tvae_quick	synthcity	0.1394	0.0791	0.1614	1.3723

Privacy summary

model	backend	n real	n synth	exact overlap rate	near duplicate rate eps	nn distance mean	k min	k pct lt5	k map	rare qi reproduction rate	identifiability score	delta presence
metasyn	metasyn	101766	1000	0.046	0.987	0.013	1	0.11	8	0.5641	0.005	1.5385
clg_mi2	pybnesian	101766	1000	0.042	0.981	0.0143	1	0.11	8	0.4744	0.004	1.9362
semi_mi5	pybnesian	101766	1000	0.042	0.981	0.0143	1	0.11	8	0.4744	0.004	1.9362
ctgan_fast	synthcity	101766	256	0.0859	0.9102	0.0552	1	0.11	1	0.2564	0.0117	5
tvae_quick	synthcity	101766	256	0.1016	0.957	0.0309	1	0.11	2	0.1026	0.0117	2.1429

Models

UMAP Details Structure

Real data

Model: metasyn (metasyn)

Per-variable fidelity

variable	type	KS	W1	JSD
race	discrete			0.0689
gender	discrete			0.0655
age	discrete			0.0818
weight	discrete			0.1077
admission_type_id	discrete			0.0957
discharge_disposition_id	continuous	0.615	1.664
admission_source_id	discrete			0.088
time_in_hospital	discrete			0.0832
payer_code	discrete			0.1178
medical_specialty	discrete			0.2378

Downstream metrics

metric	value
sign_match_rate
formula

Privacy metrics

metric	value
n_real	101766
n_synth	1000
exact_overlap_rate	0.046
near_duplicate_rate_eps	0.987
nn_distance_mean	0.013
k_min	1
k_pct_lt5	0.11
k_map	8
rare_qi_reproduction_rate	0.5641
identifiability_score	0.005
delta_presence	1.5385

variable	distribution
race	core.multinoulli
gender	core.multinoulli
age	core.multinoulli
weight	core.multinoulli
admission_type_id	core.multinoulli
discharge_disposition_id	core.truncated_normal
admission_source_id	core.multinoulli
time_in_hospital	core.multinoulli
payer_code	core.multinoulli
medical_specialty	core.multinoulli
num_lab_procedures	core.truncated_normal
num_procedures	core.multinoulli
num_medications	core.truncated_normal
number_outpatient	core.truncated_normal
number_emergency	core.truncated_normal
number_inpatient	core.truncated_normal
diag_1	core.multinoulli
diag_2	core.multinoulli
diag_3	core.multinoulli
number_diagnoses	core.multinoulli
max_glu_serum	core.multinoulli
A1Cresult	core.multinoulli
metformin	core.multinoulli
repaglinide	core.multinoulli
nateglinide	core.multinoulli
chlorpropamide	core.multinoulli
glimepiride	core.multinoulli
acetohexamide	core.multinoulli
glipizide	core.multinoulli
glyburide	core.multinoulli
tolbutamide	core.multinoulli
pioglitazone	core.multinoulli
rosiglitazone	core.multinoulli
acarbose	core.multinoulli
miglitol	core.multinoulli
troglitazone	core.multinoulli
tolazamide	core.multinoulli
examide	core.multinoulli
citoglipton	core.multinoulli
insulin	core.multinoulli
glyburide-metformin	core.multinoulli
glipizide-metformin	core.multinoulli
glimepiride-pioglitazone	core.multinoulli
metformin-rosiglitazone	core.multinoulli
metformin-pioglitazone	core.multinoulli
change	core.multinoulli
diabetesMed	core.multinoulli
readmitted	core.multinoulli

Model: clg_mi2 (pybnesian)

Seed: 42, rows: 1000
Params: {"max_indegree": 2, "operators": ["arcs"], "score": "bic", "type": "clg"}
Synthetic CSV
Per-variable metrics
Metrics JSON
Privacy metrics

Per-variable fidelity

variable	type	KS	W1	JSD
race	discrete			0.0628
gender	discrete			0.0602
age	discrete			0.0564
weight	discrete			0.1179
admission_type_id	discrete			0.0867
discharge_disposition_id	continuous	0.329	2.8717
admission_source_id	discrete			0.0885
time_in_hospital	discrete			0.0898
payer_code	discrete			0.1586
medical_specialty	discrete			0.1933

Privacy metrics

metric	value
n_real	101766
n_synth	1000
exact_overlap_rate	0.042
near_duplicate_rate_eps	0.981
nn_distance_mean	0.0143
k_min	1
k_pct_lt5	0.11
k_map	8
rare_qi_reproduction_rate	0.4744
identifiability_score	0.004
delta_presence	1.9362

Model: semi_mi5 (pybnesian)

Seed: 42, rows: 1000
Params: {"max_indegree": 5, "operators": ["arcs"], "score": "bic", "type": "semiparametric"}
Synthetic CSV
Per-variable metrics
Metrics JSON
Privacy metrics

Per-variable fidelity

variable	type	KS	W1	JSD
race	discrete			0.0628
gender	discrete			0.0602
age	discrete			0.0564
weight	discrete			0.1179
admission_type_id	discrete			0.0867
discharge_disposition_id	continuous	0.329	2.8717
admission_source_id	discrete			0.0885
time_in_hospital	discrete			0.0898
payer_code	discrete			0.1586
medical_specialty	discrete			0.1933

Privacy metrics

metric	value
n_real	101766
n_synth	1000
exact_overlap_rate	0.042
near_duplicate_rate_eps	0.981
nn_distance_mean	0.0143
k_min	1
k_pct_lt5	0.11
k_map	8
rare_qi_reproduction_rate	0.4744
identifiability_score	0.004
delta_presence	1.9362

Model: ctgan_fast (synthcity)

Seed: 42, rows: 256
Params: {"batch_size": 256, "n_iter": 5}
Synthetic CSV
Per-variable metrics
Metrics JSON
Privacy metrics

Per-variable fidelity

variable	type	KS	W1	JSD
race	discrete			0.234
gender	discrete			0.0905
age	discrete			0.329
weight	discrete			0.295
admission_type_id	discrete			0.3584
discharge_disposition_id	continuous	0.245	1.8958
admission_source_id	discrete			0.2299
time_in_hospital	discrete			0.9173
payer_code	discrete			0.8811
medical_specialty	discrete			0.9886

Privacy metrics

metric	value
n_real	101766
n_synth	256
exact_overlap_rate	0.0859
near_duplicate_rate_eps	0.9102
nn_distance_mean	0.0552
k_min	1
k_pct_lt5	0.11
k_map	1
rare_qi_reproduction_rate	0.2564
identifiability_score	0.0117
delta_presence	5

Model: tvae_quick (synthcity)

Seed: 42, rows: 256
Params: {"batch_size": 256}
Synthetic CSV
Per-variable metrics
Metrics JSON
Privacy metrics

Per-variable fidelity

variable	type	KS	W1	JSD
race	discrete			0.1456
gender	discrete			0.0817
age	discrete			0.124
weight	discrete			0.2066
admission_type_id	discrete			0.1353
discharge_disposition_id	continuous	0.5095	0.4571
admission_source_id	discrete			0.1622
time_in_hospital	discrete			0.3194
payer_code	discrete			0.4272
medical_specialty	discrete			0.5594

Privacy metrics

metric	value
n_real	101766
n_synth	256
exact_overlap_rate	0.1016
near_duplicate_rate_eps	0.957
nn_distance_mean	0.0309
k_min	1
k_pct_lt5	0.11
k_map	2
rare_qi_reproduction_rate	0.1026
identifiability_score	0.0117
delta_presence	2.1429