Co-occurring keywords · papers mentioning both
Papers
KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR
NAACL 2024
LAILab at Chemotimelines 2024: Finetuning sequence-to-sequence language models for temporal relation extraction towards cancer patient undergoing chemotherapy treatment
NAACL 2024
Lexicans at Chemotimelines 2024: Chemotimeline Chronicles - Leveraging Large Language Models (LLMs) for Temporal Relations Extraction in Oncological Electronic Health Records
NAACL 2024
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs
NAACL 2024
LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications
NAACL 2024
LTRC-IIITH at EHRSQL 2024: Enhancing Reliability of Text-to-SQL Systems through Abstention and Confidence Thresholding
NAACL 2024
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
AAAI 2024
MHGRL: An Effective Representation Learning Model for Electronic Health Records
COLING 2024
MOTOR: A Time-to-Event Foundation Model For Structured Medical Records
ICLR 2024
Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction
IJCAI 2024
Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation
EACL 2024
ODD: A Benchmark Dataset for the Natural Language Processing Based Opioid Related Aberrant Behavior Detection
NAACL 2024
Overview of the 2024 Shared Task on Chemotherapy Treatment Timeline Extraction
NAACL 2024
Overview of the EHRSQL 2024 Shared Task on Reliable Text-to-SQL Modeling on Electronic Health Records
NAACL 2024
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
IJCAI 2024
Project PRIMUS at EHRSQL 2024 : Text-to-SQL Generation using Large Language Model for EHR Analysis
NAACL 2024
PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs
NAACL 2024
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
ACL 2024
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP
EMNLP 2024
Recent Advances in Predictive Modeling with Electronic Health Records
IJCAI 2024
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records
NAACL 2024
Revisiting Clinical Outcome Prediction for MIMIC-IV
NAACL 2024
Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records
COLING 2024
Roux-lette at “Discharge Me!”: Reducing EHR Chart Burden with a Simple, Scalable, Clinician-Driven AI Approach
ACL 2024
SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data
AISTATS 2024