A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive Impairment

• Published in: Journal of Alzheimer's disease Vol. 61; no. 4; p. 1555
• Main Authors: Grassi, Massimiliano, Perna, Giampaolo, Caldirola, Daniela, Schruers, Koen, Duara, Ranjan, Loewenstein, David A
• Format: Journal Article
• Language: English
• Published: Netherlands 01.01.2018
• Subjects: Aged; Aged, 80 and over; Algorithms; Alzheimer Disease - diagnosis; Area Under Curve; Atrophy - pathology; Brain - pathology; Cognitive Dysfunction - diagnosis; Disease Progression; Female; Humans; Logistic Models; Machine Learning; Magnetic Resonance Imaging; Male; Neuropsychological Tests; Predictive Value of Tests; Prognosis; Regression Analysis; Sensitivity and Specificity; Support Vector Machine; mild cognitive impairment; Alzheimer’s disease; machine learning; clinical prediction rule; personalized medicine

Available therapies for Alzheimer's disease (AD) can only alleviate and delay the advance of symptoms, with the greatest impact eventually achieved when provided at an early stage. Thus, early identification of which subjects at high risk, e.g., with MCI, will later develop AD is of key importa...