A comprehensive study on machine learning models combining with oversampling for bronchopulmonary dysplasia-associated pulmonary hypertension in very preterm infants
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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A comprehensive study on machine learning models combining with oversampling for bronchopulmonary dysplasia-associated pulmonary hypertension in very preterm infants ; volume:25 ; number:1 ; day:8 ; month:5 ; year:2024 ; pages:1-10 ; date:12.2024
Respiratory research ; 25, Heft 1 (8.5.2024), 1-10, 12.2024
- Urheber
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Wang, Dan
Huang, Shuwei
Cao, Jingke
Feng, Zhichun
Jiang, Qiannan
Zhang, Wanxian
Chen, Jia
Kutty, Shelby
Liu, Changgen
Liao, Wenyu
Zhang, Le
Zhu, Guli
Guo, Wenhao
Yang, Jie
Liu, Lin
Yang, Jingwei
Li, Qiuping
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12931-024-02797-z
- URN
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urn:nbn:de:101:1-2407172110379.172532292400
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:52 MESZ
Datenpartner
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Beteiligte
- Wang, Dan
- Huang, Shuwei
- Cao, Jingke
- Feng, Zhichun
- Jiang, Qiannan
- Zhang, Wanxian
- Chen, Jia
- Kutty, Shelby
- Liu, Changgen
- Liao, Wenyu
- Zhang, Le
- Zhu, Guli
- Guo, Wenhao
- Yang, Jie
- Liu, Lin
- Yang, Jingwei
- Li, Qiuping
- SpringerLink (Online service)
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