Full dataset restructure

.gitattributes

@@ -63,3 +63,4 @@ train.csv filter=lfs diff=lfs merge=lfs -text
 test.csv filter=lfs diff=lfs merge=lfs -text
 train_raw.csv filter=lfs diff=lfs merge=lfs -text
 validation.csv filter=lfs diff=lfs merge=lfs -text
+Raw[[:space:]]Data/diabetic_data.csv filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,91 +0,0 @@
----
-license: unknown
-task_categories:
-- tabular-classification
-tags:
-- healthcare
-- diabetes
-- readmission
-- electronic-health-records
-- uncertainty-quantification
-- clinical-prediction
-pretty_name: Diabetic Patient 30-Day Readmission Dataset
-size_categories:
-- 100K<n<1M
----
-
-# Diabetic Patient 30-Day Readmission Dataset
-
-## Dataset Summary
-
-This dataset is derived from the Kaggle Diabetic Patients Readmission Prediction dataset and contains electronic health record (EHR) data from diabetic patient hospital encounters across the United States.
-
-It is formatted for binary classification of 30-day hospital readmission and is designed for evaluating predictive modeling and uncertainty quantification methods.
-
-## Source Data
-
-Original dataset:
-
-https://www.kaggle.com/datasets/saurabhtayal/diabetic-patients-readmission-prediction
-
-## Prediction Task
-
-Binary classification of 30-day hospital readmission.
-
-Target variable: `readmit_30d`
-
-- `1`: readmitted within 30 days (`<30`)
-- `0`: not readmitted within 30 days (`>30` or `NO`)
-
-## Dataset Files
-
-- `train.csv`: processed training split
-- `validation.csv`: processed validation split
-- `test.csv`: processed test split
-- `train_raw.csv`: raw training split
-- `validation_raw.csv`: raw validation split
-- `test_raw.csv`: raw test split
-- `cohort.csv`: identifiers + labels
-- `features.csv`: raw features
-
-## Dataset Statistics
-
-| Split | N | Negatives | Positives | Positive Rate |
-|---|---:|---:|---:|---:|
-| Train | 71236 | 63286 | 7950 | 0.1116 |
-| Validation | 15265 | 13561 | 1704 | 0.1116 |
-| Test | 15265 | 13562 | 1703 | 0.1116 |
-| Total | 101766 | 90409 | 11357 | 0.1116 |
-
-## Data Processing Pipeline
-
-- Replaced `"?"` with missing values
-- Created binary label `readmit_30d`
-- Stratified 70/15/15 split
-- Removed identifiers and target columns from features
-- Median imputation for numeric features
-- One-hot encoding for categorical features
-- Aligned feature columns across splits
-
-## Intended Use
-
-- Clinical prediction modeling  
-- Uncertainty quantification  
-- Risk-coverage analysis  
-- Decision-aware evaluation  
-
-## Limitations
-
-- Retrospective dataset  
-- Potential label noise  
-- Missing values  
-- Class imbalance  
-- Limited generalizability  
-
-## Ethical Considerations
-
-This dataset is derived from de-identified clinical data and should not be used for clinical decision-making without validation.
-
-## Citation
-
-Please cite the original Kaggle dataset when using this resource.

Raw Data/IDS_mapping.csv

@@ -0,0 +1,68 @@
+admission_type_id,description
+1,Emergency
+2,Urgent
+3,Elective
+4,Newborn
+5,Not Available
+6,NULL
+7,Trauma Center
+8,Not Mapped
+,
+discharge_disposition_id,description
+1,Discharged to home
+2,Discharged/transferred to another short term hospital
+3,Discharged/transferred to SNF
+4,Discharged/transferred to ICF
+5,Discharged/transferred to another type of inpatient care institution
+6,Discharged/transferred to home with home health service
+7,Left AMA
+8,Discharged/transferred to home under care of Home IV provider
+9,Admitted as an inpatient to this hospital
+10,Neonate discharged to another hospital for neonatal aftercare
+11,Expired
+12,Still patient or expected to return for outpatient services
+13,Hospice / home
+14,Hospice / medical facility
+15,Discharged/transferred within this institution to Medicare approved swing bed
+16,Discharged/transferred/referred another institution for outpatient services
+17,Discharged/transferred/referred to this institution for outpatient services
+18,NULL
+19,"Expired at home. Medicaid only, hospice."
+20,"Expired in a medical facility. Medicaid only, hospice."
+21,"Expired, place unknown. Medicaid only, hospice."
+22,Discharged/transferred to another rehab fac including rehab units of a hospital .
+23,Discharged/transferred to a long term care hospital.
+24,Discharged/transferred to a nursing facility certified under Medicaid but not certified under Medicare.
+25,Not Mapped
+26,Unknown/Invalid
+30,Discharged/transferred to another Type of Health Care Institution not Defined Elsewhere
+27,Discharged/transferred to a federal health care facility.
+28,Discharged/transferred/referred to a psychiatric hospital of psychiatric distinct part unit of a hospital
+29,Discharged/transferred to a Critical Access Hospital (CAH).
+,
+admission_source_id,description
+1, Physician Referral
+2,Clinic Referral
+3,HMO Referral
+4,Transfer from a hospital
+5, Transfer from a Skilled Nursing Facility (SNF)
+6, Transfer from another health care facility
+7, Emergency Room
+8, Court/Law Enforcement
+9, Not Available
+10, Transfer from critial access hospital
+11,Normal Delivery
+12, Premature Delivery
+13, Sick Baby
+14, Extramural Birth
+15,Not Available
+17,NULL
+18, Transfer From Another Home Health Agency
+19,Readmission to Same Home Health Agency
+20, Not Mapped
+21,Unknown/Invalid
+22, Transfer from hospital inpt/same fac reslt in a sep claim
+23, Born inside this hospital
+24, Born outside this hospital
+25, Transfer from Ambulatory Surgery Center
+26,Transfer from Hospice

Raw Data/diabetic_data.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0689e7ec031237dc63031b938805c48377748761a3b26acab621567afa24df97
+size 19159383

Raw Data/features.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95066ffc9ab86187c77c605e8c9907b9fb908932d5394159bba28c5412959e9c
+size 17787884