activity
20232025
most citedAE-GPT: Using Large Language Models to Extract Adverse Events from Surveillance Reports-A Use Case with Influenza Vaccine Adverse Events

57 citations · 58 across the 3 of their papers we have counts for

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3 papers · 1 filter

cs.CL2025

Advancing Pancreatic Cancer Prediction with a Next Visit Token Prediction Head on top of Med-BERT

Jianping He, Laila Rasmy, Degui Zhi +1

Background: Recently, numerous foundation models pretrained on extensive data have demonstrated efficacy in disease prediction using Electronic Health Records (EHRs). However, ther…

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.CL2023★ 57 cited

AE-GPT: Using Large Language Models to Extract Adverse Events from Surveillance Reports-A Use Case with Influenza Vaccine Adverse Events

Yiming Li, Jianfu Li, Jianping He +1

Though Vaccines are instrumental in global health, mitigating infectious diseases and pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large Langua…