38 citations · 51 across the 4 of their papers we have counts for
4 papers
A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patients
Junbo Shen, Bing Xue, Thomas Kannampallil +2
Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for…
The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes
Charles Alba, Bing Xue, Joanna Abraham +2
Clinical notes recorded during a patient's perioperative journey holds immense informational value. Advances in large language models (LLMs) offer opportunities for bridging this g…
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Bing Xue, Ahmed Sameh Said, Ziqi Xu +5
Extracorporeal membrane oxygenation (ECMO) is an essential life-supporting modality for COVID-19 patients who are refractory to conventional therapies. However, the proper treatmen…
Self-explaining Hierarchical Model for Intraoperative Time Series
Dingwen Li, Bing Xue, Christopher King +4
Major postoperative complications are devastating to surgical patients. Some of these complications are potentially preventable via early predictions based on intraoperative data.…