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

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

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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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Bibliographic Details
Main Authors: Rui Li, Eric L. Harshfield, Steven Bell, Michael Burkhart, Anil M. Tuladhar, Saima Hilal, Daniel J. Tozer, Francesca M. Chappell, Stephen D.J. Makin, Jessica W. Lo, Joanna M. Wardlaw, Frank-Erik de Leeuw, Christopher Chen, Zoe Kourtzi, Hugh S. Markus
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Cerebral Circulation - Cognition and Behavior
Subjects:
Cerebral small vessel disease
Dementia
Prediction
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666245023000235

Internet

http://www.sciencedirect.com/science/article/pii/S2666245023000235

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