Predicting incident dementia in cerebral small vessel disease: comparison of machine learning and traditional statistical models

BACKGROUND: Cerebral small vessel disease (SVD) contributes to 45% of dementia cases worldwide, yet we lack a reliable model for predicting dementia in SVD. Past attempts largely relied on traditional statistical approaches. Here, we investigated whether machine learning (ML) methods improved predic...

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Detalles Bibliográficos
Autores principales: Li, Rui, Harshfield, Eric L., Bell, Steven, Burkhart, Michael, Tuladhar, Anil M., Hilal, Saima, Tozer, Daniel J., Chappell, Francesca M., Makin, Stephen D.J., Lo, Jessica W., Wardlaw, Joanna M., de Leeuw, Frank-Erik, Chen, Christopher, Kourtzi, Zoe, Markus, Hugh S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10428032/
https://www.ncbi.nlm.nih.gov/pubmed/37593075
http://dx.doi.org/10.1016/j.cccb.2023.100179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10428032/
https://www.ncbi.nlm.nih.gov/pubmed/37593075
http://dx.doi.org/10.1016/j.cccb.2023.100179

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