activity
20192024
most citedMeasuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

1 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2022

Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes

Changchang Yin, Ruoqi Liu, Jeffrey Caterino +1

Despite intense efforts in basic and clinical research, an individualized ventilation strategy for critically ill patients remains a major challenge. Recently, dynamic treatment re…

cs.LG2021

Temporal Clustering with External Memory Network for Disease Progression Modeling

Zicong Zhang, Changchang Yin, Ping Zhang

Disease progression modeling (DPM) involves using mathematical frameworks to quantitatively measure the severity of how certain disease progresses. DPM is useful in many ways such…

cs.LG2021

Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning

Thai-Hoang Pham, Changchang Yin, Laxmi Mehta +2

Complication risk profiling is a key challenge in the healthcare domain due to the complex interaction between heterogeneous entities (e.g., visit, disease, medication) in clinical…

eess.IV2020

Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation

Zicong Zhang, Kimerly Powell, Changchang Yin +4

White Matter Hyperintensities (WMH) are the most common manifestation of cerebral small vessel disease (cSVD) on the brain MRI. Accurate WMH segmentation algorithms are important t…

stat.ME2020

Estimating Individual Treatment Effects with Time-Varying Confounders

Ruoqi Liu, Changchang Yin, Ping Zhang

Estimating the individual treatment effect (ITE) from observational data is meaningful and practical in healthcare. Existing work mainly relies on the strong ignorability assumptio…

stat.ML20191 cited

Measuring Patient Similarities via a Deep Architecture with Medical Concept Embedding

Zihao Zhu, Changchang Yin, Buyue Qian +3

Evaluating the clinical similarities between pairwise patients is a fundamental problem in healthcare informatics. A proper patient similarity measure enables various downstream ap…