activity
20182023
most citedFastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

458 citations · 672 across the 27 of their papers we have counts for

collaborators
Showing cs.AIShow all

5 papers · 1 filter

cs.AI2023

PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications

Zifeng Wang, Brandon Theodorou, Tianfan Fu +2

Clinical trials are conducted to test the effectiveness and safety of potential drugs in humans for regulatory approval. Machine learning (ML) has recently emerged as a new tool to…

cs.AI20232 cited

FRAMM: Fair Ranking with Missing Modalities for Clinical Trial Site Selection

Brandon Theodorou, Lucas Glass, Cao Xiao +1

Despite many efforts to address the disparities, the underrepresentation of gender, racial, and ethnic minorities in clinical trials remains a problem and undermines the efficacy o…

cs.AI2023

GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs

Pengcheng Jiang, Cao Xiao, Adam Cross +1

Clinical predictive models often rely on patients' electronic health records (EHR), but integrating medical knowledge to enhance predictions and decision-making is challenging. Thi…

cs.AI2019

Pre-training of Graph Augmented Transformers for Medication Recommendation

Junyuan Shang, Tengfei Ma, Cao Xiao +1

Medication recommendation is an important healthcare application. It is commonly formulated as a temporal prediction task. Hence, most existing works only utilize longitudinal elec…

cs.AI2018

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination

Junyuan Shang, Cao Xiao, Tengfei Ma +2

Recent progress in deep learning is revolutionizing the healthcare domain including providing solutions to medication recommendations, especially recommending medication combinatio…