4 papers
Self-Supervised Representation Learning for Longitudinal Polypharmacy Patterns
Yunshan Duan, Eero Korpela, Yanxun Xu
Polypharmacy, commonly defined as the concurrent use of multiple medications, is increasingly prevalent in aging populations and is associated with adverse health outcomes. Motivat…
Bayesian Causal Discovery with Cycles and Latent Confounders
Wei Jin, Lang Lang, Amanda B. Spence +2
Learning causality from observational data has received increasing interest across various scientific fields. However, most existing methods assume the absence of latent confounder…
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation
Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis +2
This paper presents a computational framework that generates ensemble predictive mechanics models with uncertainty quantification (UQ). We first develop a causal discovery algorith…
BAGEL: A Bayesian Graphical Model for Inferring Drug Effect Longitudinally on Depression in People with HIV
Yuliang Li, Yang Ni, Leah H. Rubin +2
Access and adherence to antiretroviral therapy (ART) has transformed the face of HIV infection from a fatal to a chronic disease. However, ART is also known for its side effects. S…