Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Alzheimer's Disease (AD) is the most prevalent and rapidly progressing neurodegenerative
disorder among the elderly and is a leading cause of dementia. AD results in significant …
disorder among the elderly and is a leading cause of dementia. AD results in significant …
Transfer learning for classification of Alzheimer's disease based on genome wide data
Alzheimer's disease (AD) is a type of brain disorder that is regarded as a degenerative
disease because the corresponding symptoms aggravate with the time progression. Single …
disease because the corresponding symptoms aggravate with the time progression. Single …
[HTML][HTML] Wide and deep learning based approaches for classification of Alzheimer's disease using genome-wide association studies
The increasing incidence of Alzheimer's disease (AD) has been leading towards a
significant growth in socioeconomic challenges. A reliable prediction of AD might be useful …
significant growth in socioeconomic challenges. A reliable prediction of AD might be useful …
[HTML][HTML] c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's disease
S Jemimah, A AlShehhi… - BMC Medical …, 2023 - Springer
Background Alzheimer's disease (AD) is an incurable, debilitating neurodegenerative
disorder. Current biomarkers for AD diagnosis require expensive neuroimaging or invasive …
disorder. Current biomarkers for AD diagnosis require expensive neuroimaging or invasive …
[PDF][PDF] Lessons learned and perspectives on constrained data collection and preparation for a predictive machine learning model applied to transportation industry in a …
SIK MWEPU, P MUKALA - 2024 - academicjournals.org
Machine learning algorithms are based on qualitative and quantitative historical data, to
create predictive models for shape recognition, autonomous systems, etc., using classifiers …
create predictive models for shape recognition, autonomous systems, etc., using classifiers …
Graph-based techniques and strategies for diagnosis and characterization of neurodegenerative diseases
L Hernández Lorenzo - 2024 - docta.ucm.es
Creo que no hay sección que se me haya atascado más de escribir que ésta. El temor de
enfrentarme a una hoja en blanco y ser incapaz de plasmar correctamente lo que siento. La …
enfrentarme a una hoja en blanco y ser incapaz de plasmar correctamente lo que siento. La …
[PDF][PDF] FACULTAD DE INFORMÁTICA
LH Lorenzo - 2024 - docta.ucm.es
Creo que no hay sección que se me haya atascado más de escribir que ésta. El temor de
enfrentarme a una hoja en blanco y ser incapaz de plasmar correctamente lo que siento. La …
enfrentarme a una hoja en blanco y ser incapaz de plasmar correctamente lo que siento. La …
[PDF][PDF] Alzheimerin taudin tutkimus ja biopankit–systemaattinen kirjallisuuskatsaus
A Kalliola - 2023 - erepo.uef.fi
ABSTRACT Alzheimer's disease (AD), the most common neurodegenerative disease
causing dementia among seniors, had approximately 30 million cases worldwide in 2016 …
causing dementia among seniors, had approximately 30 million cases worldwide in 2016 …