Identification of profiles associated with conversions between the Alzheimer’s disease stages, using a machine learning approach
The identification of factors involved in the conversion across the different Alzheimer’s disease (AD) stages is crucial to prevent or slow the disease progression. We aimed to assess the factors and their com...