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Communication Dans Un Congrès Année : 2023

A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics

Résumé

We introduce a disease progression model suited for neurodegenerative pathologies that allows to model associations between covariates and dynamic features of the disease course. We establish a statistical framework and implement an algorithm for its estimation. We show that the model is reliable and can provide uncertainty estimates of the discovered associations thanks to its Bayesian formulation. The model's interest is showcased by shining a new light on genetic associations.
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Dates et versions

hal-04295080 , version 1 (20-11-2023)

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Citer

Nemo Fournier, Stanley Durrleman​. A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, Oct 2023, Vancouver, Canada. pp.601-610, ⟨10.1007/978-3-031-43904-9_58⟩. ⟨hal-04295080⟩
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