Dementia Prediction Using Hierarchical Attention and Evaluation of Context Quality

Abstract

Background: A clinical interview is the first step in diagnosing dementia, as it helps determine whether the patient needs further evaluation. Large Language Models (LLMs) excel in understanding textual contexts and show significant promise in various domains, but their performance on real medical records has been less explored.

The paper