Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models.

Autores: Silva IS, Ferreira CN, Costa LBX, Sóter MO, Carvalho LML, de C Albuquerque J, Sales MF, Cândido AL, Reis FM, Veloso AA, Gomes KB.
Publicado em: J Endocrinol Invest. 2022;45(3): 497-505. doi: 10.1007/s40618-021-01672-8.
Clique para leitura: https://pubmed.ncbi.nlm.nih.gov/34524677/