Interpretable multimodal machine learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy

Interpretable multimodal machine learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy

Abstract Background Distal sensorimotor polyneuropathy (DSPN) is a common neurological disorder in elderly adults and people with obesity, prediabetes and diabetes and is associated with high morbidity and premature mortality. DSPN is a multifactorial disease and not fully understood yet. Methods He...

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Main Authors: Phong B. H. Nguyen, Daniel Garger, Diyuan Lu, Haifa Maalmi, Holger Prokisch, Barbara Thorand, Jerzy Adamski, Gabi Kastenmüller, Melanie Waldenberger, Christian Gieger, Annette Peters, Karsten Suhre, Gidon J. Bönhof, Wolfgang Rathmann, Michael Roden, Harald Grallert, Dan Ziegler, Christian Herder, Michael P. Menden
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Communications Medicine
Online Access:https://doi.org/10.1038/s43856-024-00637-1
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https://doi.org/10.1038/s43856-024-00637-1

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