Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy

Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy

ABSTRACT Background 5q‐Spinal muscular atrophy (SMA) is now one of the 5% treatable rare diseases worldwide. As disease‐modifying therapies alter disease progression and patient phenotypes, paediatricians and consulting disciplines face new unknowns in their treatment decisions. Conclusions made fro...

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Main Authors: Tu‐Lan Vu‐Han, Vikram Sunkara, Rodrigo Bermudez‐Schettino, Jakob Schwechten, Robin Runge, Carsten Perka, Tobias Winkler, Sebastian Pokutta, Claudia Weiß, Matthias Pumberger
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:Journal of Cachexia, Sarcopenia and Muscle
Subjects:
feature engineering
gene therapy
machine learning
predictive power score
rare disease
spinal muscular atrophy
Online Access:https://doi.org/10.1002/jcsm.13599
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https://doi.org/10.1002/jcsm.13599

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