Recurrent pregnancy loss: risk factors and predictive modeling approaches DOI Creative Commons

Xiaoyu Zhang,

Jiawei Gao,

Liuxin Yang

et al.

The Journal of Maternal-Fetal & Neonatal Medicine, Journal Year: 2024, Volume and Issue: 38(1)

Published: Dec. 18, 2024

Purpose This review aims to identify and analyze the risk factors associated with recurrent pregnancy loss (RPL) evaluate effectiveness of various predictive models in estimating RPL. The also explores recent advancements machine learning algorithms that can enhance accuracy these models. ultimate goal is provide a comprehensive understanding how tools aid personalized management women experiencing

Language: Английский

Recurrent pregnancy loss: risk factors and predictive modeling approaches DOI Creative Commons

Xiaoyu Zhang,

Jiawei Gao,

Liuxin Yang

et al.

The Journal of Maternal-Fetal & Neonatal Medicine, Journal Year: 2024, Volume and Issue: 38(1)

Published: Dec. 18, 2024

Purpose This review aims to identify and analyze the risk factors associated with recurrent pregnancy loss (RPL) evaluate effectiveness of various predictive models in estimating RPL. The also explores recent advancements machine learning algorithms that can enhance accuracy these models. ultimate goal is provide a comprehensive understanding how tools aid personalized management women experiencing

Language: Английский

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