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Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China

Published Online: 2025-02-11

Authors

Liu, Qingyuan

Zhu, Simin

Zhao, Meng

Ma, Lan

Wang, Chenqian

Sun, Xiaotong

Feng, Yanyan

Wu, Yifan

Zeng, Zhen

Zhang, Lei
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61927819, 61927819, 61927819, 61927819, 61927819, 61927819, 61927819, 61927819, 61927819, 61927819)

Beijing Municipal Administration of Hospitals Incubation Program (px2022039, px2022039, px2022039, px2022039, px2022039, px2022039, px2022039, px2022039, px2022039, px2022039)
License Information

Text and Data Mining valid from 2025-02-11

Version of Record valid from 2025-02-11
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Article History

Received: 17 October 2024

Accepted: 28 January 2025

First Online: 11 February 2025

Declarations

:

: This study was conducted in accordance with the Declaration of Helsinki and received approval from the Institutional Review Board of Beijing Tsinghua Changgung Hospital Ethics Committee (Ethical approval number: 21414-0-02). The need for consent to participate was also waived by Institutional Review Board of Beijing Tsinghua Changgung Hospital Ethics Committee.

: Not applicable.

: The authors declare no competing interests.

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