5 citations · 5 across the 3 of their papers we have counts for
3 papers
Does Machine Learning Outperform Traditional Fibrosis Scores in Predicting Liver Cirrhosis Risk? A Longitudinal EHR-Based Study
Zhuqi Miao, Ahmed G Qasem, Sujan Ravi +5
Objective: Develop and evaluate machine learning (ML) models for predicting incident liver cirrhosis (LC) one and two years before diagnosis using routinely collected electronic he…
A Large Language Model Based Pipeline for Review of Systems Entity Recognition from Clinical Notes
Hieu Nghiem, Zhuqi Miao, Hemanth Reddy Singareddy +5
Objective: Develop a cost-effective, large language model (LLM)-based pipeline for automatically extracting Review of Systems (ROS) entities from clinical notes. Materials and Meth…
Large Language Models in Healthcare
Mohammed Al-Garadi, Tushar Mungle, Abdulaziz Ahmed +3
Large language models (LLMs) hold promise for transforming healthcare, from streamlining administrative and clinical workflows to enriching patient engagement and advancing clinica…