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
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2393
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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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
- Urheber
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Huang, Jingying
Lv, Ping
Lian, Yunzhi
Zhang, Meihua
Ge, Xin
Li, Shuheng
Pan, Yingxia
Zhao, Jiangman
Xu, Yue
Tang, Hui
Li, Nan
Zhang, Zhishan
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s12884-022-05025-y
- URN
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urn:nbn:de:101:1-2022120410043754702293
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:27 MESZ
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Beteiligte
- 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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