Towards Robust and Fair Next Visit Diagnosis Prediction under Noisy Clinical Notes with Large Language Models

This article likely discusses the application of Large Language Models (LLMs) to improve the accuracy and fairness of predicting diagnoses for a patient's next visit, using noisy and potentially incomplete clinical notes. The focus is on addressing challenges like data quality and bias in the prediction process. The source being ArXiv suggests this is a research paper.