Searchable abstracts of presentations at key conferences in endocrinology

ea0099p519 | Pituitary and Neuroendocrinology | ECE2024

Machine learning in differential diagnosis of ACTH-dependent hypercortisolism

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%...