Classification and diagnosis model for Alzheimer's disease based on multimodal data fusion

• Published in: Medicine (Baltimore) Vol. 103; no. 52; p. e41016
• Main Authors: Fu, Yaqin, Xu, Lin, Zhang, Yujie, Zhang, Linshuai, Zhang, Pengfei, Cao, Lu, Jiang, Tao
• Format: Journal Article
• Language: English
• Published: Hagerstown, MD Lippincott Williams & Wilkins 27.12.2024
• Subjects: Aged; Aged, 80 and over; Alzheimer Disease - classification; Alzheimer Disease - diagnosis; Case-Control Studies; Early Diagnosis; Female; Humans; Male; Middle Aged; Observational Study; Speech; deep learning; multimodal fusion; classification; Alzheimer disease; speech

Alzheimer disease (AD) is the most commonly occurring neurodegenerative disease. However, current diagnostics for AD primarily rely on invasive tests, which limit the application of diagnostic procedures in early screening. Speech, as a noninvasive biomarker, is closely associated with AD but has no...