Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models
Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models
Isabel Marcolino da Silva,C. Ferreira,8 Authors,K. Gomes
2021 · DOI: 10.1007/s40618-021-01672-8
Journal of Endocrinological Investigation · 37 Citations
TLDR
The developed algorithm could be applied to select more important clinical and biochemical variables related to PCOS and to classify into phenotypically different clusters and could guide more personalized and effective approaches to the treatment of PCOS.