Distribution of normal values.

<div><p>Introduction</p><p>IVF is a widely-used assisted reproductive technology with a consistent success rate of around 30%, and improving this rate is crucial due to emotional, financial, and health-related implications for infertile couples. This study aimed to develop a...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Shirin Dehghan (19837936) (author)
مؤلفون آخرون:	Reza Rabiei (9138998) (author), Hamid Choobineh (8476908) (author), Keivan Maghooli (13302069) (author), Mozhdeh Nazari (19837939) (author), Mojtaba Vahidi-Asl (9139007) (author)
منشور في:	2024
الموضوعات:	Cell Biology Biotechnology Evolutionary Biology Marine Biology Cancer Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified predicting ivf outcome ivf success prediction including random forest including female age assist ivf clinicians artificial neural network around 30 %, ten crucial features feature selection techniques feature selection method comparing five machine consistent success rate xlink "> ivf ga feature selection highest accuracy rate feature selection xlink "> accuracy rate using ga machine learning crucial due various indicators study aimed sperm count rpart ), related implications regression trees predictive models key determinants infertile couples genetic algorithm future research findings underscore endometrial thickness embryo quality comparative study accurate predictions 8 %. 4 %.
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Distribution of normal values.

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