Machine Learning for the Prediction of Amyloid Positivity in Amnestic Mild Cognitive Impairment.
Journal:
Journal of Alzheimer's disease : JAD
PMID:
33523003
Abstract
BACKGROUND: Amyloid-β (Aβ) evaluation in amnestic mild cognitive impairment (aMCI) patients is important for predicting conversion to Alzheimer's disease. However, Aβ evaluation through Aβ positron emission tomography (PET) is limited due to high cost and safety issues.
Authors
Keywords
Aged
Aged, 80 and over
Algorithms
Amyloid beta-Peptides
Apolipoproteins E
Area Under Curve
Cerebral Cortex
Cognitive Dysfunction
Cohort Studies
Disease Progression
Female
Hippocampus
Humans
Machine Learning
Magnetic Resonance Imaging
Male
Mental Recall
Middle Aged
Neuropsychological Tests
Positron-Emission Tomography
Predictive Value of Tests
Reproducibility of Results
Risk Factors