Predicting Factors for Blood Transfusion in Primary Total Knee Arthroplasty Using a Machine Learning Method.

Daniel R CavazosZain SayeedTannor CourtChaoyang ChenBryan E LittleHussein F Darwiche

Published in: The Journal of the American Academy of Orthopaedic Surgeons (2023)

This study demonstrated that MPNN for the prediction of patient-specific blood transfusion rates after TKA represented a novel application of machine learning with the potential to improve preoperative planning for treatment outcomes.

Keyphrases

total knee arthroplasty
machine learning
total hip
artificial intelligence
big data
risk assessment