Towards Alzheimer's Disease Progression Assessment: A Review of Machine Learning Methods. (arXiv:2211.02636v1 [q-bio.NC])

Alzheimer's Disease (AD), as the most devastating neurodegenerative disease
worldwide, has reached nearly 10 million new cases annually. Current technology
provides unprecedented opportunities to study the progression and etiology of
this disease with the advanced in imaging techniques. With the recent emergence
of a society driven by big data and machine learning (ML), researchers have
exerted considerable effort to summarize recent advances in ML-based AD
diagnosis. Here, we outline some of the most prevalent and recent ML models for
assessing …

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