8 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.LG2024★ 8 cited
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…
cs.CL2024
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…
cs.CL2023
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection
Benjamin C. Warner, Ziqi Xu, Simon Haroutounian +2
Survey data can contain a high number of features while having a comparatively low quantity of examples. Machine learning models that attempt to predict outcomes from survey data u…