Prediction Of Implantation Results In Vitro Fertilization And Intracytoplasmic Sperm Injection Using Data Mining Methods

dc.contributor.author	Egamkulov Z.T
dc.date.accessioned	2025-12-29T08:06:04Z
dc.date.issued	2024-10-28
dc.description.abstract	In vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) are two important subtypes of assisted reproductive technologies used to treat infertility. Predicting the outcome of IVF/ICSI implantation or the likelihood of pregnancy is essential for infertile couples as these treatments are complex and expensive, and the probability of conception is low.
dc.format	application/pdf
dc.identifier.uri	https://peerianjournal.com/index.php/tpj/article/view/961
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/14609
dc.language.iso	eng
dc.publisher	Peerian Journals Publishing
dc.relation	https://peerianjournal.com/index.php/tpj/article/view/961/793
dc.rights	https://creativecommons.org/licenses/by/4.0
dc.source	The Peerian Journal; Vol. 35 (2024): TPJ; 54-56
dc.source	2788-0303
dc.subject	treatments
dc.subject	reproductive
dc.subject	pregnancy
dc.subject	probability
dc.title	Prediction Of Implantation Results In Vitro Fertilization And Intracytoplasmic Sperm Injection Using Data Mining Methods
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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