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

• Main Authors: Jingying Huang (Author), Ping Lv (Author), Yunzhi Lian (Author), Meihua Zhang (Author), Xin Ge (Author), Shuheng Li (Author), Yingxia Pan (Author), Jiangman Zhao (Author), Yue Xu (Author), Hui Tang (Author), Nan Li (Author), Zhishan Zhang (Author)
• Format: Book
• Published: BMC, 2022-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...