most citedGENIE: Generative Note Information Extraction model for structuring EHR data

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ML2025

Automated Hierarchical Graph Construction for Multi-source Electronic Health Records

Yinjie Wang, Doudou Zhou, Yue Liu +2

Electronic Health Records (EHRs), comprising diverse clinical data such as diagnoses, medications, and laboratory results, hold great promise for translational research. EHR-derive…

stat.ML2025

A Common Pipeline for Harmonizing Electronic Health Record Data for Translational Research

Jessica Gronsbell, Vidul Ayakulangara Panickan, Doudou Zhou +11

Despite the growing availability of Electronic Health Record (EHR) data, researchers often face substantial barriers in effectively using these data for translational research due…

stat.ME2025

Latent Factor Point Processes for Patient Representation in Electronic Health Records

Parker Knight, Doudou Zhou, Zongqi Xia +2

Electronic health records (EHR) contain valuable longitudinal patient-level information, yet most statistical methods reduce the irregular timing of EHR codes into simple counts, t…

cs.LG2025

Time-Aware Attention for Enhanced Electronic Health Records Modeling

Junhan Yu, Zhunyi Feng, Junwei Lu +2

Electronic Health Records (EHR) contain valuable clinical information for predicting patient outcomes and guiding healthcare decisions. However, effectively modeling Electronic Hea…

cs.CL20252 cited

GENIE: Generative Note Information Extraction model for structuring EHR data

Huaiyuan Ying, Hongyi Yuan, Jinsen Lu +6

Electronic Health Records (EHRs) hold immense potential for advancing healthcare, offering rich, longitudinal data that combines structured information with valuable insights from…