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

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1471-2393
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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 ; volume:22 ; number:1 ; day:9 ; month:9 ; year:2022 ; pages:1-8 ; date:12.2022
BMC pregnancy and childbirth ; 22, Heft 1 (9.9.2022), 1-8, 12.2022

Creator
Huang, Jingying
Lv, Ping
Lian, Yunzhi
Zhang, Meihua
Ge, Xin
Li, Shuheng
Pan, Yingxia
Zhao, Jiangman
Xu, Yue
Tang, Hui
Li, Nan
Zhang, Zhishan
Contributor
SpringerLink (Online service)

DOI
10.1186/s12884-022-05025-y
URN
urn:nbn:de:101:1-2022120410043754702293
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:27 AM CEST

Data provider

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Associated

  • Huang, Jingying
  • Lv, Ping
  • Lian, Yunzhi
  • Zhang, Meihua
  • Ge, Xin
  • Li, Shuheng
  • Pan, Yingxia
  • Zhao, Jiangman
  • Xu, Yue
  • Tang, Hui
  • Li, Nan
  • Zhang, Zhishan
  • SpringerLink (Online service)

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