Robust Meta-Model for Predicting the Likelihood of Receiving Blood Transfusion in Non-traumatic Intensive Care Unit Patients

Robust Meta-Model for Predicting the Likelihood of Receiving Blood Transfusion in Non-traumatic Intensive Care Unit Patients

Background: Blood transfusions, crucial in managing anemia and coagulopathy in intensive care unit (ICU) settings, require accurate prediction for effective resource allocation and patient risk assessment. However, existing clinical decision support systems have primarily targeted a particular patie...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Alireza Rafiei, Ronald Moore, Tilendra Choudhary, Curtis Marshall, Geoffrey Smith, John D. Roback, Ravi M. Patel, Cassandra D. Josephson, Rishikesan Kamaleswaran
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: American Association for the Advancement of Science (AAAS) 2024-01-01
Sarja:Health Data Science
Linkit:https://spj.science.org/doi/10.34133/hds.0197

Internet

https://spj.science.org/doi/10.34133/hds.0197

Samankaltaisia teoksia