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

Documenti analoghi

• Validation of Blood Transfusion Risk Scores (TRACK and TRUST) in a Cardiac Surgery Service in Brazil
  di: Cristiano Berardo Carneiro da Cunha
  Pubblicazione: (2023)
• Establishing a Surgeon‐Led Adult Cardiac Surgery Quality Improvement Program
  di: Ahmet Can Topcu, et al.
  Pubblicazione: (2025)
• Retained Blood Syndrome Is Associated With High Mortality and Morbidity After Cardiac Surgery
  di: Lean A. Al Saqer, et al.
  Pubblicazione: (2025)
• Factors Influencing Pain Scores and Opioid Demand after Robotically Assisted Cardiac Surgery
  di: Irsa Hasan, et al.
  Pubblicazione: (2024)
• Enhancing Diagnostic and Postoperative Outcome Predictions Through Machine Learning: A Focused Analysis on Noncardiac and Cardiac Surgeries
  di: Alexander Lombardo, et al.
  Pubblicazione: (2025)