Construction of machine learning tools to predict threatened miscarriage in the first trimester based on AEA, progesterone and β-hCG in China: a multicentre, observational, case-control study

Construction of machine learning tools to predict threatened miscarriage in the first trimester based on AEA, progesterone and β-hCG in China: a multicentre, observational, case-control study

Abstract Background Endocannabinoid anandamide (AEA), progesterone (P4) and β-human chorionic gonadotrophin (β-hCG) are associated with the threatened miscarriage in the early stage. However, no study has investigated whether combing these three hormones could predict threatened miscarriage. Thus, w...

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Bibliographic Details
Main Authors: Jingying Huang, Ping Lv, Yunzhi Lian, Meihua Zhang, Xin Ge, Shuheng Li, Yingxia Pan, Jiangman Zhao, Yue Xu, Hui Tang, Nan Li, Zhishan Zhang
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Pregnancy and Childbirth
Subjects:
Endocannabinoid anandamide
Progesterone
β-Human chorionic gonadotrophin
Threatened miscarriage
Online Access:https://doi.org/10.1186/s12884-022-05025-y

Internet

https://doi.org/10.1186/s12884-022-05025-y

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