Automatic subtyping of individuals with Primary Progressive Aphasia
Charalambos K. Themistocleous, Bronte Ficek, Kimberly T. Webster, Dirk‐Bart den Ouden, Argye Elizabeth Hillis, Kyrana Tsapkini
This study develops a deep neural network to subtype Primary Progressive Aphasia patients into three variants using speech and language data, achieving 80% accuracy.
Journal of Alzheimer s Disease · Jan 5, 2021Peer-reviewedNeuroscience