https://foxsignaling.com/index.....php/precisely-how-m
Feature selection and multivariate modeling, using Lasso regression, were applied to parotid CT radiomics features, extracted for all patients. The models were built upon the selection of features from pretreatment (CT1), mid-treatment (CT2), post-treatment (CT3), and delta features (CT2-1, CT3-1, CT3-2). Parotid dose distribution images (Dose model) also yielded dosimetric features that we considered. Therefore, composite models incorporating radio-dosiomic d
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