Linguistic Changes in Spontaneous Speech for Detecting Parkinsons Disease Using Large Language Models

arXiv:2404.05160v1 Announce Type: new
Abstract: Parkinsons disease is the second most prevalent neurodegenerative disorder with over ten million active cases worldwide and one million new diagnoses per year. Detecting and subsequently diagnosing the disease is challenging because of symptom heterogeneity with respect to complexity, as well as the type and timing of phenotypic manifestations. Typically, language impairment can present in the prodromal phase and precede motor symptoms suggesting that a linguistic-based approach could serve as a diagnostic method for incipient …

abstract arxiv cases complexity cs.cl disease eess.as language language models large language large language models per speech type