activity
20232026
most citedPublicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

5 citations · 8 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries

Jiyoun Kim, Muhan Yeo, Eunhye Jang +14

Discharge summaries are crucial clinical documents containing the context of a patient's overall hospital stay, and are routinely reviewed by medical experts for patient readmissio…

cs.LG2025

Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing

Eunbyeol Cho, Jiyoun Kim, Minjae Lee +2

Electronic Health Records (EHR) are time-series relational databases that record patient interactions and medical events over time, serving as a critical resource for healthcare re…

cs.CL2025★ 1 cited

Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation

Jong Hak Moon, Geon Choi, Paloma Rabaey +10

Radiology reports convey detailed clinical observations and capture diagnostic reasoning that evolves over time. However, existing evaluation methods are limited to single-report s…

cs.LG2024★ 2 cited

Federated Learning for Heterogeneous Electronic Health Record Systems with Cost Effective Participant Selection

Jiyoun Kim, Junu Kim, Kyunghoon Hur +1

The increasing volume of electronic health records (EHRs) presents the opportunity to improve the accuracy and robustness of models in clinical prediction tasks. Unlike traditional…

cs.CL2024

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries

Sunjun Kweon, Jiyoun Kim, Heeyoung Kwak +6

Discharge summaries in Electronic Health Records (EHRs) are crucial for clinical decision-making, but their length and complexity make information extraction challenging, especiall…

cs.CL2023★ 5 cited

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes

Sunjun Kweon, Junu Kim, Jiyoun Kim +12

The development of large language models tailored for handling patients' clinical notes is often hindered by the limited accessibility and usability of these notes due to strict pr…

cs.LG2023

Rediscovery of CNN's Versatility for Text-based Encoding of Raw Electronic Health Records

Eunbyeol Cho, Min Jae Lee, Kyunghoon Hur +3

Making the most use of abundant information in electronic health records (EHR) is rapidly becoming an important topic in the medical domain. Recent work presented a promising frame…