2 citations · 3 across the 4 of their papers we have counts for
5 papers
Transfer Learning with Clinical Concept Embeddings from Large Language Models
Yuhe Gao, Runxue Bao, Yuelyu Ji +4
Knowledge sharing is crucial in healthcare, especially when leveraging data from multiple clinical sites to address data scarcity, reduce costs, and enable timely interventions. Tr…
Online Transfer Learning for RSV Case Detection
Yiming Sun, Yuhe Gao, Runxue Bao +7
Transfer learning has become a pivotal technique in machine learning and has proven to be effective in various real-world applications. However, utilizing this technique for classi…
A Recent Survey of Heterogeneous Transfer Learning
Runxue Bao, Yiming Sun, Yuhe Gao +4
The application of transfer learning, leveraging knowledge from source domains to enhance model performance in a target domain, has significantly grown, supporting diverse real-wor…
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning
Yuelyu Ji, Yuhe Gao, Runxue Bao +4
The coronavirus disease 2019 (COVID-19) has led to a global pandemic of significant severity. In addition to its high level of contagiousness, COVID-19 can have a heterogeneous cli…
Deep Transfer Learning for Infectious Disease Case Detection Using Electronic Medical Records
Ye Ye, Andrew Gu
During an infectious disease pandemic, it is critical to share electronic medical records or models (learned from these records) across regions. Applying one region's data/model to…