Evidence
Alzheimers Res Ther. 2024 Feb 27;16(1):46. doi: 10.1186/s13195-024-01415-w.
ABSTRACT
BACKGROUND: The pathophysiology of Alzheimer’s disease (AD) involves
METHODS: We propose a machine learning framework using standard non-invasive (MRI, demographics, APOE, neuropsychology) measures to predict future A
RESULTS: Cross-validated AUC for 4-year A
CONCLUSION: Standard measures have potential in detecting future A
PMID:38414035 | DOI:10.1186/s13195-024-01415-w
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