Concepedia

Predicting disease severity in multiple sclerosis using multimodal data and machine learning

Magí Andorrà, Ana Freire, Irati Zubizarreta, Nicole Kerlero de Rosbo, Steffan D. Bos, Melanie Rinas, Einar August Høgestøl, Sigrid A. de Rodez Benavent, Tone Berge, Synne Brune-Ingebretse,

Journal of Neurology · 2023 · 29 citations · 40 references

DOIFull text

Open access

Abstract

Combining clinical, imaging and omics data with machine learning helps identify MS patients at risk of disability worsening.

References

40

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Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis

Christiane Graetz, John Zajicek · Nature Genetics · 2013 · 1.4K citations · Full text

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Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes

Rui Chen, George I. Mias, Jennifer Li‐Pook‐Than et al. · Cell · 2012 · 1.3K citations · Full text

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