Machine learning–based prediction of transfusion-Reference-Cited by-同舟云学术

Machine learning–based prediction of transfusion

Published:2020-06-28 Issue: Volume: Page:
ISSN:0041-1132
Container-title:Transfusion
language:en
Short-container-title:Transfusion

Author:

Mitterecker Andreas¹^ORCID,Hofmann Axel²,Trentino Kevin M.³,Lloyd Adam³,Leahy Michael F.⁴,Schwarzbauer Karin¹,Tschoellitsch Thomas⁵,Böck Carl⁵,Hochreiter Sepp¹,Meier Jens⁵

Affiliation:

1. Institute for Machine LearningJohannes Kepler University Linz Austria

2. Department of Anesthesiology and Critical Care MedicineUniversity and University Hospital Zürich Switzerland

3. Data and Digital InnovationEast Metropolitan Health Service Perth Australia

4. Department of Haematology, PathWest Laboratory MedicineRoyal Perth Hospital Perth Australia

5. Department of Anesthesiology and Critical Care MedicineKepler University Hospital GmbH and Johannes Kepler University Linz Austria

Publisher

Wiley

Subject

Hematology,Immunology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/trf.15935

Reference24 articles.

1. Patient blood management: the global view

2. Continued decline in blood collection and transfusion in the United States-2015

3. Improved outcomes and reduced costs associated with a health-system-wide patient blood management program: a retrospective observational study in four major adult tertiary-care hospitals

4. Strategies to preempt and reduce the use of blood products

5. Blood Transfusion as a Quality Indicator in Cardiac Surgery

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