Temporal association of neuropsychological test performance using unsupervised learning reveals a distinct signature of Alzheimer's disease status.
Alzheimer's & Dementia: Translational Research & Clinical Interventions(2019)
摘要
Our results suggest that a subset of NP tests, when analyzed using unsupervised machine learning, may help distinguish between high- and low-risk individuals in the context of subsequent development of AD within 5 years. This approach could be a viable option for early AD screening in clinical practice and clinical trials.
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关键词
Alzheimer's disease,Neuropsychological testing,Machine learning,Framingham Heart Study,National Alzheimer's Coordinating Center
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