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Subtle cognitive alterations that precede clinical evidence of cognitive impairment may help predict the progression to Alzheimer's disease (AD). Neuropsychological (NP) testing is an attractive modality for screening early evidence of AD. Longitudinal NP and demographic data from the Framingham Heart Study (FHS; N = 1696) and the National Alzheimer's Coordinating Center (NACC; N = 689) were analyzed using an unsupervised machine learning framework. Features, including age, logicaldoi:10.1016/j.trci.2019.11.006 pmid:31921970 pmcid:PMC6944730 fatcat:5in2hkgeijcs5lhn5lmydijw7u