Towards cross-cohort estimation of cognitive decline in neurodegenerative diseases

Heterogeneity of cohorts, in terms of inclusion criteria, design of follow-up visits and batteries of cognitive assessments, hinders any thorough comparisons between them. For that reason, we build a cross-cohort model of cognitive decline that can be personalized to any patient, allowing to impute partially or totally missing scores. This enables to compare at an individual level disease progression of subjects from different cohorts, with a temporal realignment and regarding a broader set of biomarkers.

Mots clés

Longitudinal study Disease progression model Cross-cohort replication Data imputation

Domaines

Bio-informatique [q-bio.QM] Machine Learning [stat.ML] Statistiques [math.ST] Neurosciences

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Towards cross-cohort estimation of cognitive decline in neurodegenerative diseases.pdf (587.21 Ko)

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Etienne Maheux : Connectez-vous pour contacter le contributeur

https://inria.hal.science/hal-03137870

Soumis le : mercredi 10 février 2021-19:11:35

Dernière modification le : vendredi 8 novembre 2024-16:36:03

Archivage à long terme le : mardi 11 mai 2021-20:56:30

Dates et versions

hal-03137870 , version 1 (10-02-2021)

Identifiants

HAL Id : hal-03137870 , version 1

Citer

Etienne Maheux, Igor Koval, Damiano Archetti, Alberto Redolfi, Stanley Durrleman. Towards cross-cohort estimation of cognitive decline in neurodegenerative diseases. VPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France. ⟨hal-03137870⟩

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