A machine learning model integrating radiomics and clinical factors to predict recurrence risk after rehabilitation in lumbar disc herniation
This study aimed to construct and internally validate a machine learning model integrating radiomics features and clinical factors to predict post-rehabilitation recurrence risk in patients with lumbar disc herniation (LDH). In this single-center retrospective cohort study, 260 adults aged 18 to 70 years with LDH who c...