activity
20202026
most citedEHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records

13 citations · 32 across the 19 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CL2024

EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records

Jaehee Ryu, Seonhee Cho, Gyubok Lee +1

In this paper, we introduce EHR-SeqSQL, a novel sequential text-to-SQL dataset for Electronic Health Record (EHR) databases. EHR-SeqSQL is designed to address critical yet underexp…

cs.CL2024

EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records

Yeonsu Kwon, Jiho Kim, Gyubok Lee +6

Electronic Health Records (EHRs) are integral for storing comprehensive patient medical records, combining structured data (e.g., medications) with detailed clinical notes (e.g., p…

cs.CL2024★ 1 cited

Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records

Gyubok Lee, Sunjun Kweon, Seongsu Bae +1

Electronic Health Records (EHRs) are relational databases that store the entire medical histories of patients within hospitals. They record numerous aspects of patients' medical ca…

cs.CL2024

Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL

Yongjin Yang, Sihyeon Kim, SangMook Kim +3

Incorporating unanswerable questions into EHR QA systems is crucial for testing the trustworthiness of a system, as providing non-existent responses can mislead doctors in their di…

cs.AI2024★ 1 cited

TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

Gyubok Lee, Woosog Chay, Seonhee Cho +1

Text-to-SQL enables users to interact with databases using natural language, simplifying the retrieval and synthesis of information. Despite the remarkable success of large languag…