Predictive models in SMA II natural history trajectories using machine learning: A proof of concept study.

Predictive models in SMA II natural history trajectories using machine learning: A proof of concept study.

It is known from previous literature that type II Spinal Muscular Atrophy (SMA) patients generally, after the age of 5 years, presents a steep deterioration until puberty followed by a relative stability, as most abilities have been lost. Although it is possible to identify points of slope indicatin...

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Bibliographic Details
Main Authors: Giorgia Coratti, Jacopo Lenkowicz, Stefano Patarnello, Consolato Gullì, Maria Carmela Pera, Carlotta Masciocchi, Riccardo Rinaldi, Valeria Lovato, Antonio Leone, Alfredo Cesario, Eugenio Mercuri
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0267930

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https://doi.org/10.1371/journal.pone.0267930

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