Value of radiomics-based two-dimensional ultrasound for diagnosing early diabetic nephropathy.

ABSTRACT: Despite efforts to diagnose diabetic nephropathy (DN) using biochemical data or ultrasound imaging separately, a significant gap exists regarding the development of integrated models combining both modalities for enhanced early DN diagnosis. Therefore, we aimed to assess the ability of machine learning models containing two-dimensional ultrasound imaging and biochemical data to diagnose early DN in patients with type 2 diabetes mellitus (T2DM). This retrospective study included 219 patients, divided into a training or test group at an 8:2 ratio. Features were selected using minimum redundancy maximum relevance and random forest-recursive feature elimination. The predictive performance of the models was evaluated using the area under the receiver operating characteristic curve (AUC) for sen

SUBMITTER: Su X 

PROVIDER: S-EPMC10665410 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature