Assessment of Machine Learning Methods to Predict Massive Blood Transfusion in Trauma
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
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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
- Creator
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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
- Contributor
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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
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:52 AM CEST
Data provider
This object is provided by:
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Associated
- 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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Blood transfusion and coagulopathy in geriatric trauma patients
Platelets and Massive Transfusion
Fibrinogen and base excess levels as predictive markers of the need for massive blood transfusion after blunt trauma
Emergency Blood Transfusion for Trauma and Perioperative Resuscitation: Standard of Care
Platelet Transfusion for Trauma Resuscitation
The impact of age and receipt antihypertensives to systolic blood pressure and shock index at injury scene and in the emergency department to predict massive transfusion in trauma patients
Development of machine learning models to predict perioperative blood transfusion in hip surgery
Prediction of pre-hospital blood transfusion in trauma patients based on scoring systems
Alcohol-positive multiple trauma patients with and without blood transfusion: an outcome analysis
Blood transfusion during cardiac surgery: massive transfusion coagulopathy
The FASILA Score: A Novel Bio-Clinical Score to Predict Massive Blood Transfusion in Patients with Abdominal Trauma
FIBTEM provides early prediction of massive transfusion in trauma
Blood transfusion and coagulopathy in geriatric trauma patients
Platelets and Massive Transfusion
Fibrinogen and base excess levels as predictive markers of the need for massive blood transfusion after blunt trauma
Emergency Blood Transfusion for Trauma and Perioperative Resuscitation: Standard of Care
Platelet Transfusion for Trauma Resuscitation
The impact of age and receipt antihypertensives to systolic blood pressure and shock index at injury scene and in the emergency department to predict massive transfusion in trauma patients
Development of machine learning models to predict perioperative blood transfusion in hip surgery
Prediction of pre-hospital blood transfusion in trauma patients based on scoring systems