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

CONCLUSION: 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.PMID:37733328 | DOI:10.5435/JAAOS-D-23-00063
Source: The Journal of the American Academy of Orthopaedic Surgeons - Category: Orthopaedics Authors: Source Type: research