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

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...

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Bibliographic Details
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
ISSN:	1875-8908, 1875-8908
Online Access:	Get more information
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