Searchable abstracts of presentations at key conferences in endocrinology

ea0090p176 | Reproductive and Developmental Endocrinology | ECE2023

Machine learning algorithm for predicting polycystic ovary syndrome based on voice samples

Stogowska Ewa , Jamiołkowski Jacek , Kondraciuk Marcin , Kucharski Michał , Paszcza Paweł , Ziołko Bartosz , Kamiński Karol , Kowalska Irina

Introduction: Several investigations proved the presence of receptors for androgens, estrogens and progesterone in vocal folds. The most common endocrine disorder causing alterations in the aforementioned hormones concentrations is polycystic ovary syndrome (PCOS), which, according to several studies, can cause voice changes, especially deepening of its timbre. Over last few years, vocal changes accompanying many different disorders have been a subject of research with the use...