Ahmet Numan Demir, Deger Ayata, Ahmet Oz, Cem Sulu, Zehra Kara, Serdar Sahin, Dilan Ozaydin, Bora Korkmazer, Serdar Arslan, Osman Kizilkilic, Sema Ciftci, Ozlem Celik, Hande Mefkure Ozkaya, Necmettin Tanriover, Nurperi Gazioglu, Pinar Kadioglu
OBJECTIVE: This study aimed to develop machine learning (ML) algorithms for the differential diagnosis of adrenocorticotropic hormone (ACTH)-dependent Cushing's syndrome (CS) based on biochemical and radiological features. METHODS: Logistic regression algorithms were used for ML, and the area under the receiver operating characteristics curve (AUROC) was used to measure performance. We used Shapley Contributed Comments (SHAP) values, which help explain the results of the ML models to identify the meaning of each feature and facilitate interpretation...
March 19, 2024: Journal of Clinical Endocrinology and Metabolism