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: Daniel R Cavazos Zain Sayeed Tannor Court Chaoyang Chen Bryan E Little Hussein F Darwiche Source Type: research
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