Utility of multimodal longitudinal imaging data for dynamic prediction of cardiovascular and renal disease: the CARDIA study

Utility of multimodal longitudinal imaging data for dynamic prediction of cardiovascular and renal disease: the CARDIA study

BackgroundMedical examinations contain repeatedly measured data from multiple visits, including imaging variables collected from different modalities. However, the utility of such data for the prediction of time-to-event is unknown, and only a fraction of the data is typically used for risk predicti...

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Bibliographic Details
Main Authors: Hieu Nguyen, Henrique D. Vasconcellos, Kimberley Keck, Jeffrey Carr, Lenore J. Launer, Eliseo Guallar, João A. C. Lima, Bharath Ambale-Venkatesh
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Radiology
Subjects:
multimodal
imaging
dynamic survival analysis
machine learning
dynamic prediction
cardiovascular disease
Online Access:https://www.frontiersin.org/articles/10.3389/fradi.2024.1269023/full

Internet

https://www.frontiersin.org/articles/10.3389/fradi.2024.1269023/full

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