[HTML][HTML] Comparison of machine learning-based approaches to predict the conversion to Alzheimer's disease from mild cognitive impairment

R Franciotti, D Nardini, M Russo, M Onofrj, SL Sensi… - Neuroscience, 2023 - Elsevier
Abstract In Mild Cognitive Impairment (MCI), identifying a high risk of conversion to
Alzheimer's Disease Dementia (AD) is a primary goal for patient management. Machine …

[HTML][HTML] A novel ensemble-based machine learning algorithm to predict the conversion from mild cognitive impairment to Alzheimer's disease using socio …

M Grassi, N Rouleaux, D Caldirola… - Frontiers in …, 2019 - frontiersin.org
Background: Despite the increasing availability in brain health related data, clinically
translatable methods to predict the conversion from Mild Cognitive Impairment (MCI) to …

Early MCI‐to‐AD Conversion Prediction Using Future Value Forecasting of Multimodal Features

S Minhas, A Khanum, A Alvi, F Riaz… - Computational …, 2021 - Wiley Online Library
In Alzheimer's disease (AD) progression, it is imperative to identify the subjects with mild
cognitive impairment before clinical symptoms of AD appear. This work proposes a …

A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease

S Spasov, L Passamonti, A Duggento, P Lio, N Toschi… - Neuroimage, 2019 - Elsevier
Some forms of mild cognitive impairment (MCI) are the clinical precursors of Alzheimer's
disease (AD), while other MCI types tend to remain stable over-time and do not progress to …

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects

E Moradi, A Pepe, C Gaser, H Huttunen, J Tohka… - Neuroimage, 2015 - Elsevier
Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive
decline and Alzheimer's disease (AD). For the effective treatment of AD, it would be …

[HTML][HTML] Cognitive and MRI trajectories for prediction of Alzheimer's disease

SA Mofrad, AJ Lundervold, A Vik, AS Lundervold - Scientific reports, 2021 - nature.com
Abstract The concept of Mild Cognitive Impairment (MCI) is used to describe the early stages
of Alzheimer's disease (AD), and identification and treatment before further decline is an …

[HTML][HTML] Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer's disease

EE Bron, S Klein, JM Papma, LC Jiskoot… - NeuroImage: Clinical, 2021 - Elsevier
This work validates the generalizability of MRI-based classification of Alzheimer's disease
(AD) patients and controls (CN) to an external data set and to the task of prediction of …

[HTML][HTML] Prediction of autopsy verified neuropathological change of Alzheimer's disease using machine learning and MRI

A Kautzky, R Seiger, A Hahn, P Fischer… - Frontiers in aging …, 2018 - frontiersin.org
Background: Alzheimer's disease (AD) is the most common form of dementia. While
neuropathological changes pathognomonic for AD have been defined, early detection of AD …

[HTML][HTML] Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data

J Ye, M Farnum, E Yang, R Verbeeck, V Lobanov… - BMC neurology, 2012 - Springer
Abstract Background Patients with Mild Cognitive Impairment (MCI) are at high risk of
progression to Alzheimer's dementia. Identifying MCI individuals with high likelihood of …

[HTML][HTML] Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors

Y Cui, B Liu, S Luo, X Zhen, M Fan, T Liu, W Zhu… - PloS one, 2011 - journals.plos.org
Prediction of conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is
of major interest in AD research. A large number of potential predictors have been proposed …