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

I S Silva, Cláudia Natália Ferreira, Luana Bernardes Xavier Costa, M.O. Sóter, Laura Machado Lara Carvalho, J. de C. Albuquerque, Mariana F. Sales, Ana Lúcia Cândido, Fernando M. Reis, Adriano Veloso, Karina Braga Gomes

2021Journal of Endocrinological Investigation45 citationsDOI

Topics & Concepts

Polycystic ovaryBody mass indexMedicineAlgorithmInternal medicineFollicle-stimulating hormoneInsulinEndocrinologyMachine learningBioinformaticsInsulin resistanceBiologyLuteinizing hormoneHormoneComputer scienceOvarian function and disordersArtificial Intelligence in HealthcareCancer Research and Treatment
Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models | Litcius