Developing machine learning-based models to predict intrauterine insemination (IUI) success by address modeling challenges in imbalanced data and providing modification solutions for them

BACKGROUND: This study sought to provide machine learning-based classification models to predict the success of intrauterine insemination (IUI) therapy. Additionally, we sought to illustrate the effect of models fitting with balanced data vs original data with imbalanced data labels using two differ...

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Detalles Bibliográficos
Autores principales: Khodabandelu, Sajad, Basirat, Zahra, Khaleghi, Sara, Khafri, Soraya, Montazery Kordy, Hussain, Golsorkhtabaramiri, Masoumeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434923/
https://www.ncbi.nlm.nih.gov/pubmed/36050710
http://dx.doi.org/10.1186/s12911-022-01974-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434923/
https://www.ncbi.nlm.nih.gov/pubmed/36050710
http://dx.doi.org/10.1186/s12911-022-01974-8

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