Cargando…
Disease Modelling of Cognitive Outcomes and Biomarkers in the European Prevention of Alzheimer’s Dementia Longitudinal Cohort
A key challenge for the secondary prevention of Alzheimer’s dementia is the need to identify individuals early on in the disease process through sensitive cognitive tests and biomarkers. The European Prevention of Alzheimer’s Dementia (EPAD) consortium recruited participants into a longitudinal coho...
Autores principales: | Howlett, James, Hill, Steven M., Ritchie, Craig W., Tom, Brian D. M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8417903/ https://www.ncbi.nlm.nih.gov/pubmed/34490422 http://dx.doi.org/10.3389/fdata.2021.676168 |
Ejemplares similares
-
Developing an Explainable Machine Learning-Based Personalised Dementia Risk Prediction Model: A Transfer Learning Approach With Ensemble Learning Algorithms
por: Danso, Samuel O., et al.
Publicado: (2021) -
Inter-Cohort Validation of SuStaIn Model for Alzheimer’s Disease
por: Archetti, Damiano, et al.
Publicado: (2021) -
European Prevention of Alzheimer’s Dementia Longitudinal Cohort Study (EPAD LCS): study protocol
por: Solomon, Alina, et al.
Publicado: (2018) -
Statistical Disease Progression Modeling in Alzheimer Disease
por: Raket, Lars Lau
Publicado: (2020) -
Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis
por: Bellantuono, Loredana, et al.
Publicado: (2022)