Predicting the Need for Blood Transfusions in Cardiac Surgery: A Comparison between Machine Learning Algorithms and Established Risk Scores in the Brazilian Population

Cristiano Berardo Carneiro da Cunha^I; Tiago Andrade Lima^IV; Diogo Luiz de Magalhães Ferraz^III; Igor Tiago Correia Silva^III; Matheus Kennedy Dionisio Santiago^IV; Gabrielle Ribeiro Sena^V; Verônica Soares Monteiro^VI; Lívia Barbosa Andrade^VII

DOI: 10.21470/1678-9741-2023-0212

• Article
• About the authors
• Statistics
• Comments
• Related content

¹Department of Cardiovascular Research, Harvard Medical School, Boston, Massachusetts, United States of America
²Department of Cardiovascular Research, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
³Department of Cardiovascular Surgery, Instituto de Medicina Integral Professor Fernando Figueira (IMIP), Recife, Pernambuco, Brazil
⁴Department of Systems Analysis and Development, Instituto Federal de Pernambuco, Recife, Pernambuco, Brazil
⁵Department of Medicine, Faculdade Pernambucana de Saúde, Recife, Pernambuco, Brazil
⁶Department of Cardiology, Instituto de Medicina Integral Professor Fernando Figueira (IMIP), Recife, Pernambuco, Brazil
⁷Department of Post-Graduation, Instituto de Medicina Integral Professor Fernando Figueira (IMIP), Recife, Pernambuco, Brazil