3 papers
cs.LG2025
Synthetic Survival Data Generation for Heart Failure Prognosis Using Deep Generative Models
Chanon Puttanawarut, Natcha Fongsrisin, Porntep Amornritvanich +2
Background: Heart failure (HF) research is constrained by limited access to large, shareable datasets due to privacy regulations and institutional barriers. Synthetic data generati…
cs.LG2025
Uncertainty quantification for improving radiomic-based models in radiation pneumonitis prediction
Chanon Puttanawarut, Romen Samuel Wabina, Nat Sirirutbunkajorn
Background: Radiation pneumonitis is a side effect of thoracic radiation therapy. Recently, machine learning models with radiomic features have improved radiation pneumonitis predi…
cs.LG2024
ICTSurF: Implicit Continuous-Time Survival Functions with Neural Networks
Chanon Puttanawarut, Panu Looareesuwan, Romen Samuel Wabina +1
Survival analysis is a widely known method for predicting the likelihood of an event over time. The challenge of dealing with censored samples still remains. Traditional methods, s…