The development of machine learning algorithms that can predict patients satisfaction using baseline characteristics, and preoperative and operative factors of total …

HS Nam, JPY Ho, SY Park, JH Cho, YS Lee - The Knee, 2023 - Elsevier
Background Patient satisfaction following primary total knee arthroplasty (TKA) is a crucial
part to evaluate the success of the procedure. The purpose of this study was to develop to …
被引用次数：2 相关文章

The development of machine learning algorithms that can predict patients satisfaction using baseline characteristics, and preoperative and operative factors of total …

HS Nam, JPY Ho, SY Park, JH Cho, YS Lee - The Knee - pubmed.ncbi.nlm.nih.gov
Background Patient satisfaction following primary total knee arthroplasty (TKA) is a crucial
part to evaluate the success of the procedure. The purpose of this study was to develop to …

The development of machine learning algorithms that can predict patients satisfaction using baseline characteristics, and preoperative and operative factors of total …

HS Nam, JPY Ho, SY Park, JH Cho, YS Lee - The Knee, 2023 - thekneejournal.com
Background Patient satisfaction following primary total knee arthroplasty (TKA) is a crucial
part to evaluate the success of the procedure. The purpose of this study was to develop to …

The development of machine learning algorithms that can predict patients satisfaction using baseline characteristics, and preoperative and operative factors of total …

HS Nam, JPY Ho, SY Park, JH Cho, YS Lee - The Knee, 2023 - europepmc.org
Patient satisfaction following primary total knee arthroplasty (TKA) is a crucial part to
evaluate the success of the procedure. The purpose of this study was to develop to predict …