32 citations · 107 across the 8 of their papers we have counts for
11 papers
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context
Zonghai Yao, Yi Cao, Zhichao Yang +2
Language Models (LMs) have performed well on biomedical natural language processing applications. In this study, we conducted some experiments to use prompt methods to extract know…
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score
Sunjae Kwon, Zonghai Yao, Harmon S. Jordan +3
This paper proposes a new natural language processing (NLP) application for identifying medical jargon terms potentially difficult for patients to comprehend from electronic health…
Membership Inference Attack Susceptibility of Clinical Language Models
Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu
Deep Neural Network (DNN) models have been shown to have high empirical privacy leakages. Clinical language models (CLMs) trained on clinical data have been used to improve perform…
Ontology-based annotation and analysis of COVID-19 phenotypes
Yang Wang, Fengwei Zhang, Hong Yu +2
The epidemic of COVID-19 has caused an unpredictable and devastated disaster to the public health in different territories around the world. Common phenotypes include fever, cough,…
Ontology-based systematic classification and analysis of coronaviruses, hosts, and host-coronavirus interactions towards deep understanding of COVID-19
Hong Yu, Li Li, Hsin-hui Huang +17
Given the existing COVID-19 pandemic worldwide, it is critical to systematically study the interactions between hosts and coronaviruses including SARS-Cov, MERS-Cov, and SARS-CoV-2…
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
Fei Li, Hong Yu
Automated ICD coding, which assigns the International Classification of Disease codes to patient visits, has attracted much research attention since it can save time and labor for…