Utilising speech-derived biomarkers to detect Alzheimer's disease with BERT-based language models: a machine learning study
Background Early diagnosis is critical for effective management of Alzheimer's disease (AD). While prior studies have shown that speech features can be indicative of AD, most existing work consolidates multiple biomarkers, making it difficult to isolate the contribution of individual features. Objective This study syst...