Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models.
I S SilvaC N FerreiraL B X CostaM O SóterL M L CarvalhoJ de C AlbuquerqueM F SalesA L CandidoF M ReisA A VelosoKarina Braga GomesPublished in: Journal of endocrinological investigation (2021)
The developed algorithm could be applied to select more important clinical and biochemical variables related to PCOS and to classify into phenotypically different clusters. These results could guide more personalized and effective approaches to the treatment of PCOS.