Assessment of Machine Learning Methods to Predict Massive Blood Transfusion in Trauma
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
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Englisch
- Erschienen in
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Assessment of Machine Learning Methods to Predict Massive Blood Transfusion in Trauma ; volume:47 ; number:10 ; day:30 ; month:6 ; year:2023 ; pages:2340-2346 ; date:10.2023
World journal of surgery ; 47, Heft 10 (30.6.2023), 2340-2346, 10.2023
- Urheber
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Strickland, Matt
Nguyen, Anthony
Wu, Shinyi
Suen, Sze-Chuan
Mu, Yanda
Rio Cuervo, Juan Del
Shin, Brandon J.
Kalakuntla, Tej
Ghafil, Cameron
Matsushima, Kazuhide
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s00268-023-07098-y
- URN
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urn:nbn:de:101:1-2023111015142239461022
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:52 MESZ
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Beteiligte
- Strickland, Matt
- Nguyen, Anthony
- Wu, Shinyi
- Suen, Sze-Chuan
- Mu, Yanda
- Rio Cuervo, Juan Del
- Shin, Brandon J.
- Kalakuntla, Tej
- Ghafil, Cameron
- Matsushima, Kazuhide
- SpringerLink (Online service)
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