Prediction of recurrence after transsphenoidal surgery for Cushing ’s disease: the use of machine learning algorithms

This study was aimed to develop machine learning (ML)-based predictive models for CD recurrence after initial TSS and to evaluate their performance. Method: A total of 354 CD patients were included in this retrospective, supervised learning, data mining study. Predict ive models for recurrence were developed according to 17 variables using 7 algorithms. Models were evaluated based on the area under the receiver operating characteristic curve (AUC). Results: All patients were followed up for over 12 months (mean±SD = 43.80±35.61 months). The recurrence rate was 13.0%. Age (p
Source: Neuroendocrinology - Category: Endocrinology Source Type: research