Learning the irreversible progression trajectory of Alzheimer's disease

arXiv:2403.06087v1 Announce Type: new
Abstract: Alzheimer's disease (AD) is a progressive and irreversible brain disorder that unfolds over the course of 30 years. Therefore, it is critical to capture the disease progression in an early stage such that intervention can be applied before the onset of symptoms. Machine learning (ML) models have been shown effective in predicting the onset of AD. Yet for subjects with follow-up visits, existing techniques for AD classification only aim for accurate group assignment, where the …

abstract alzheimer's arxiv brain course cs.lg disease early stage eess.iv machine machine learning stage trajectory type