Machine learning methods in differential diagnosis of ACTH-dependent hypercortisolism
O. O. Golounina,
Zh. E. Belaya,
K. A. Voronov
et al.
Abstract:AIM: To develop a noninvasive method of differential diagnosis of ACTH-dependent hypercortisolism, as well as to evaluate the effectiveness of an optimal algorithm for predicting the probability of ectopic ACTH syndrome (EAS) obtained using machine learning methods based on the analysis of clinical data.MATERIALS AND METHODS: As part of a single-center, one-stage, cohort study, a retrospective prediction of the probability of EAS among patients with ACTH-dependent hypercortisolism was carried out. Patients wer… Show more
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