activity
20222025
most citedSynthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model

46 citations · 50 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.LG2023

ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation

Brandon Theodorou, Shrusti Jain, Cao Xiao +1

Generative models can produce synthetic patient records for analytical tasks when real data is unavailable or limited. However, current methods struggle with adhering to domain-spe…

cs.LG2023

TREEMENT: Interpretable Patient-Trial Matching via Personalized Dynamic Tree-Based Memory Network

Brandon Theodorou, Cao Xiao, Jimeng Sun

Clinical trials are critical for drug development but often suffer from expensive and inefficient patient recruitment. In recent years, machine learning models have been proposed f…

cs.AI2023★ 2 cited

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.AI2023★ 2 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.LG2023★ 46 cited

Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model

Brandon Theodorou, Cao Xiao, Jimeng Sun

Synthetic electronic health records (EHRs) that are both realistic and preserve privacy can serve as an alternative to real EHRs for machine learning (ML) modeling and statistical…