A support vector regressor predicts FEM-simulated skull shapes from 3D photos with R2=0.95, but validation on real patient outcomes is poor (R2=-3.58).
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A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction
A support vector regressor predicts FEM-simulated skull shapes from 3D photos with R2=0.95, but validation on real patient outcomes is poor (R2=-3.58).