Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them.
Khodabandelu S, Basirat Z, Khaleghi S, Khafri S, Montazery Kordy H, Golsorkhtabaramiri M.
Khodabandelu S, et al.
BMC Med Inform Decis Mak. 2022 Sep 1;22(1):228. doi: 10.1186/s12911-022-01974-8.
BMC Med Inform Decis Mak. 2022.
PMID: 36050710
Free PMC article.
METHODS: The data for the cross-sectional study were collected from 546 infertile couples with IUI at the Fatemehzahra Infertility Research Center, Babol, North of Iran. Logistic regression (LR), support vector classification, random forest, Extreme Gradient Boosting (XGBo …
METHODS: The data for the cross-sectional study were collected from 546 infertile couples with IUI at the Fatemehzahra Infertility Re …