DOI: 10.5281/zenodo.17051667
title: Heart Failure synthetic dataset

description: Synthetic Survival Data Generation for Heart Failure Prognosis Using Deep Generative Models

 

This collection features five public datasets of synthetically generated tabular data in heart failure patients, each created using a different generative model.

The datasets include:



TVAE.csv from a Tabular Variational Autoencoder (TVAE), 

ADSGAN.csv from an ADSGAN

SurvivalGAN_df.csv from a SurvivalGAN.

TabDDPM_df.csv, generated by a Tabular Denoising Diffusion Probabilistic Model (TabDDPM)

NFlow_df.csv, created by a Normalizing Flow (NFlow) model.

columns_class.yaml, specify discrete or continuous variables.







Variable



Full Name



Type



Unit



Category





ENC_HN



Unique indentifier



Categorical



 



 





HGB



Hemoglobin



Continuous



g/dL



Laboratory Values





Glucose



Blood Glucose



Continuous



mg/dL



Laboratory Values





HbA1C (EDTA-blood)



HbA1C



Continuous



%



Laboratory Values





Sodium



Serum Sodium



Continuous



mEq/L



Laboratory Values





Potassium



Serum Potassium



Continuous



mEq/L



Laboratory Values





Blood urea nitrogen



Blood Urea Nitrogen (BUN)



Continuous



mg/dL



Laboratory Values





Creatinine



Serum Creatinine



Continuous



mg/dL



Laboratory Values





LDL Cholesterol



Low-Density Lipoprotein



Continuous



mg/dL



Laboratory Values





HR



Heart Rate



Continuous



bpm



Vital Signs





HIGH



Height



Continuous



cm



Vital Signs





BW



Body Weight



Continuous



kg



Vital Signs





SBP



Systolic Blood Pressure



Continuous



mmHg



Vital Signs





DBP



Diastolic Blood Pressure



Continuous



mmHg



Vital Signs





SPO2



Oxygen Saturation



Continuous



%



Vital Signs





NT-proBNP



N-terminal pro B-type Natriuretic Peptide



Continuous



pg/mL



Laboratory Values





proBNP



Pro B-type Natriuretic Peptide



Continuous



pg/mL



Laboratory Values





Age



Age



Continuous



years



Demographics





Gender



Gender



Binary



0/1



Demographics





ACEI



ACE Inhibitors



Binary



0/1



Medications





ARBs



Angiotensin Receptor Blockers



Binary



0/1



Medications





ARNI



Angiotensin Receptor-Neprilysin Inhibitor



Binary



0/1



Medications





BB



Beta Blockers



Binary



0/1



Medications





Ivabradine



Ivabradine



Binary



0/1



Medications





MRA



Mineralocorticoid Receptor Antagonists



Binary



0/1



Medications





SGLT2i



SGLT2 Inhibitors



Binary



0/1



Medications





Statin



Statin



Binary



0/1



Medications





furosemide



Furosemide



Binary



0/1



Medications





thiazide



Thiazide Diuretics



Binary



0/1



Medications





HT



Hypertension



Binary



0/1



Co-morbidity





DM



Diabetes Mellitus



Binary



0/1



Co-morbidity





AF



Atrial Fibrillation



Binary



0/1



Co-morbidity





CKD



Chronic Kidney Disease



Binary



0/1



Co-morbidity





dead



Death Status



Binary



0/1



Outcomes





Days



Time to Death/Censoring



Continuous



days



Outcomes





Days_HE



Time to Death/Censoring with histogram equalization



Continuous



days



Outcomes





type



Heart Failure type



Categorical



0=HFpEF

1=HFmrEF

2=HFrEF



Co-morbidity






 



@misc{puttanawarut2025syntheticsurvivaldatageneration,      title={Synthetic Survival Data Generation for Heart Failure Prognosis Using Deep Generative Models},       author={Chanon Puttanawarut and Natcha Fongsrisin and Porntep Amornritvanich and Cholatid Ratanatharathorn and Panu Looareesuwan},      year={2025},      eprint={2509.04245},      archivePrefix={arXiv},      primaryClass={cs.LG},      url={https://arxiv.org/abs/2509.04245}, }