@article{32370a93a46941f9b938f69f6ec8082d,
title = "A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures",
keywords = "Alzheimer's disease, clinical prediction rule, machine learning, mild cognitive impairment, personalized medicine, precision medicine, neuropsychological tests, OLDER-ADULTS, DEMENTIA, INDIVIDUALS, MRI, MCI, STATE, RISK",
author = "Massimiliano Grassi and Nadine Rouleaux and Daniela Caldirola and David Loewenstein and Koen Schruers and Giampaolo Perna and Michel Dumontier and {Alzheimer's Disease Neuroimaging Initiative}",
year = "2019",
month = jul,
day = "16",
doi = "10.3389/fneur.2019.00756",
language = "English",
volume = "10",
journal = "Frontiers in Neurology",
issn = "1664-2295",
publisher = "Frontiers Media S.A.",
}