Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data

Controlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predi...

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Detalles Bibliográficos
Autores principales: Zieliński, Krystian, Pukszta, Sebastian, Mickiewicz, Małgorzata, Kotlarz, Marta, Wygocki, Piotr, Zieleń, Marcin, Drzewiecka, Dominika, Drzyzga, Damian, Kloska, Anna, Jakóbkiewicz-Banecka, Joanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138216/
https://www.ncbi.nlm.nih.gov/pubmed/37104276
http://dx.doi.org/10.1371/journal.pcbi.1011020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138216/
https://www.ncbi.nlm.nih.gov/pubmed/37104276
http://dx.doi.org/10.1371/journal.pcbi.1011020

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