1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 1 cited
Prompting Large Language Models for Clinical Temporal Relation Extraction
Jianping He, Laila Rasmy, Haifang Li +5
Objective: This paper aims to prompt large language models (LLMs) for clinical temporal relation extraction (CTRE) in both few-shot and fully supervised settings. Materials and Met…
cs.LG2023
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data
Shenghan Zhang, Haoxuan Li, Ruixiang Tang +5
Detailed phenotype information is fundamental to accurate diagnosis and risk estimation of diseases. As a rich source of phenotype information, electronic health records (EHRs) pro…