Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer's disease dementia: a systematic review
S Grueso, R Viejo-Sobera - Alzheimer's research & therapy, 2021 - Springer
Background An increase in lifespan in our society is a double-edged sword that entails a
growing number of patients with neurocognitive disorders, Alzheimer's disease being the …
growing number of patients with neurocognitive disorders, Alzheimer's disease being the …
Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment
Background Mild cognitive impairment (MCI) due to Alzheimer's disease is the symptomatic
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …
Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI …
Background In the era of computer-assisted diagnostic tools for various brain diseases,
Alzheimer's disease (AD) covers a large percentage of neuroimaging research, with the …
Alzheimer's disease (AD) covers a large percentage of neuroimaging research, with the …
MRI asymmetry index of hippocampal subfields increases through the continuum from the mild cognitive impairment to the Alzheimer's disease
Objective: It is well-known that the hippocampus presents significant asymmetry in
Alzheimer's disease (AD) and that difference in volumes between left and right exists and …
Alzheimer's disease (AD) and that difference in volumes between left and right exists and …
Wavelet entropy and directed acyclic graph support vector machine for detection of patients with unilateral hearing loss in MRI scanning
S Wang, M Yang, S Du, J Yang, B Liu… - Frontiers in …, 2016 - frontiersin.org
Highlights We develop computer-aided diagnosis system for unilateral hearing loss
detection in structural magnetic resonance imaging. Wavelet entropy is introduced to extract …
detection in structural magnetic resonance imaging. Wavelet entropy is introduced to extract …
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares
Background Alzheimer's disease (AD) is the most common cause of dementia in the elderly
and affects approximately 30 million individuals worldwide. Mild cognitive impairment (MCI) …
and affects approximately 30 million individuals worldwide. Mild cognitive impairment (MCI) …
Explainable boosting machine for predicting Alzheimer's disease from MRI hippocampal subfields
Although automatic prediction of Alzheimer's disease (AD) from Magnetic Resonance
Imaging (MRI) showed excellent performance, Machine Learning (ML) algorithms often …
Imaging (MRI) showed excellent performance, Machine Learning (ML) algorithms often …
The Healthy Brain Initiative (HBI): A prospective cohort study protocol
Background The Health Brain Initiative (HBI), established by University of Miami's
Comprehensive Center for Brain Health (CCBH), follows racially/ethnically diverse older …
Comprehensive Center for Brain Health (CCBH), follows racially/ethnically diverse older …
An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment
Discriminating Alzheimer's disease (AD) from its prodromal form, mild cognitive impairment
(MCI), is a significant clinical problem that may facilitate early diagnosis and intervention, in …
(MCI), is a significant clinical problem that may facilitate early diagnosis and intervention, in …
Atrophy of hippocampal subfields and amygdala nuclei in subjects with mild cognitive impairment progressing to Alzheimer's disease
The hippocampus and amygdala are the first brain regions to show early signs of
Alzheimer's Disease (AD) pathology. AD is preceded by a prodromal stage known as Mild …
Alzheimer's Disease (AD) pathology. AD is preceded by a prodromal stage known as Mild …