Publications by authors named "Robin Runge"
Feature Engineering for the Prediction of Scoliosis in 5q-Spinal Muscular Atrophy.
J Cachexia Sarcopenia Muscle
December 2024
Article Synopsis
- 5q-Spinal muscular atrophy (SMA) is a rare disease that can now be treated, presenting new challenges for pediatricians as treatment decisions evolve with disease-modifying therapies.
- A data-driven machine learning approach was used to analyze a dataset of 84 SMA patients, focusing on predicting scoliosis by selecting relevant features through expert knowledge and statistical methods.
- The study identified key predictors like motor function scores, age, weight, and various medical interventions, achieving a prediction accuracy of 82% using a Random Forest Classifier.