ea0099p519 | Pituitary and Neuroendocrinology | ECE2024
Belaya Zhanna
, Golounina Olga
, Voronov Kirill
, Solodovnikov Alexander
, Rozhinskaya Liudmila
, Melnichenko Galina
, Mokrysheva Natalia
, Dedov Ivan
Objective: To develop a non-invasive method of differential diagnosis for ACTH-dependent hypercortisolism using machine learning methods based on clinical data analysis.Materials and methods: This is a single-center study of a retrospective cohort to predict the probability of EAS among patients with ACTH-dependent hypercortisolism using artificial machine learning algorithms. Patients were randomly stratified into 2 samples: training (80%) and test (20%...