Search Results for author:
Found 5 papers, 1 papers with code
Zero Shot Health Trajectory Prediction Using Transformer
Integrating modern machine learning and clinical decision-making has great promise for mitigating healthcare's increasing cost and complexity.
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation
In this work, we introduce Query-Based Retrieval Augmented Generation (QB-RAG), a novel approach that pre-computes a database of potential queries from a content base using LLMs.
Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection
Large Language Models (LLMs) have demonstrated their efficacy across a broad spectrum of tasks in healthcare applications.
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health
RMABs are increasingly being used for sensitive decisions such as in public health, treatment scheduling, anti-poaching, and -- the motivation for this work -- digital health.
Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach
Deep learning models have exhibited superior performance in predictive tasks with the explosively increasing Electronic Health Records (EHR).
