Cargando…
Statistical methods for dementia risk prediction and recommendations for future work: A systematic review
INTRODUCTION: Numerous dementia risk prediction models have been developed in the past decade. However, methodological limitations of the analytical tools used may hamper their ability to generate reliable dementia risk scores. We aim to review the used methodologies. METHODS: We systematically revi...
Autores principales: | Goerdten, Jantje, Čukić, Iva, Danso, Samuel O., Carrière, Isabelle, Muniz-Terrera, Graciela |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6804431/ https://www.ncbi.nlm.nih.gov/pubmed/31646170 http://dx.doi.org/10.1016/j.trci.2019.08.001 |
Ejemplares similares
-
Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction
por: Goerdten, Jantje, et al.
Publicado: (2020) -
Cognitive Dispersion Predicts Grip Strength Trajectories in Men but not Women in a Sample of the Oldest Old Without Dementia
por: Watermeyer, Tamlyn, et al.
Publicado: (2021) -
Application of Big Data and Artificial Intelligence technologies to dementia prevention research: an opportunity for low-and-middle-income countries
por: Danso, Samuel O, et al.
Publicado: (2019) -
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) -
Importance of modelling decisions on estimating trajectories of depressive symptoms and co-morbid conditions in older adults: Longitudinal studies from ten European countries
por: Marroig, Alejandra, et al.
Publicado: (2019)