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.

Keywords

Longitudinal study Disease progression model Cross-cohort replication Data imputation

Domains

Bioinformatics [q-bio.QM] Machine Learning [stat.ML] Statistics [math.ST] Neuroscience

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

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Etienne Maheux : Connect in order to contact the contributor

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

Submitted on : Wednesday, February 10, 2021-7:11:35 PM

Last modification on : Saturday, April 6, 2024-3:08:17 AM

Long-term archiving on : Tuesday, May 11, 2021-8:56:30 PM

Dates and versions

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

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HAL Id : hal-03137870 , version 1

Cite

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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