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

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...

Full description

Bibliographic Details
Main Authors: Drzewiecka, D. (Author), Drzyzga, D. (Author), Jakóbkiewicz-Banecka, J. (Author), Kloska, A. (Author), Kotlarz, M. (Author), Mickiewicz, M. (Author), Pukszta, S. (Author), Wygocki, P. (Author), Zieleń, M. (Author), Zieliński, K. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2023
Subjects:
animal
Animals
Anti-Mullerian Hormone
chemistry
female
Female
Fertilization in Vitro
genetics
in vitro fertilization
Muellerian inhibiting factor
oocyte
Oocytes
Ovarian Follicle
ovary follicle
ovulation induction
Ovulation Induction
physiology
procedures
Online Access:View Fulltext in Publisher
View in Scopus

Internet

View Fulltext in Publisher
View in Scopus

Similar Items