activity
20192024
most citedGraph Embedding on Biomedical Networks: Methods, Applications, and Evaluations

413 citations · 495 across the 14 of their papers we have counts for

collaborators

14 papers

cs.LG2024★ 46 cited

SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing

Changchang Yin, Pin-Yu Chen, Bingsheng Yao +3

Sepsis is the leading cause of in-hospital mortality in the USA. Early sepsis onset prediction and diagnosis could significantly improve the survival of sepsis patients. Existing p…

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…

cs.CV2021★ 18 cited

Contrastive Attention for Automatic Chest X-ray Report Generation

Fenglin Liu, Changchang Yin, Xian Wu +4

Recently, chest X-ray report generation, which aims to automatically generate descriptions of given chest X-ray images, has received growing research interests. The key challenge o…

cs.CL2021★ 1 cited

TransICD: Transformer Based Code-wise Attention Model for Explainable ICD Coding

Biplob Biswas, Thai-Hoang Pham, Ping Zhang

International Classification of Disease (ICD) coding procedure which refers to tagging medical notes with diagnosis codes has been shown to be effective and crucial to the billing…