Machine learning algorithms do not outperform preoperative thresholds in predicting clinically meaningful improvements after total knee arthroplasty
S Zhang, BPH Lau, YH Ng, X Wang, W Chua - Knee Surgery, Sports …, 2022 - Springer
Purpose Patient-reported outcome measures (PROMs) are important measures of success
after total knee arthroplasty (TKA) and being able to predict their improvements could …
after total knee arthroplasty (TKA) and being able to predict their improvements could …
Development of machine learning algorithms to predict achievement of minimal clinically important difference for the KOOS‐PS following total knee arthroplasty
A Katakam, AV Karhade, A Collins… - Journal of …, 2022 - Wiley Online Library
As cost‐effective measures become increasingly implemented in the US healthcare system,
changes in patient‐reported outcome measure (PROM) scores can be utilized to indicate …
changes in patient‐reported outcome measure (PROM) scores can be utilized to indicate …
Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A …
B Langenberger, A Thoma, V Vogt - BMC medical informatics and decision …, 2022 - Springer
Objectives To systematically review studies using machine learning (ML) algorithms to
predict whether patients undergoing total knee or total hip arthroplasty achieve an …
predict whether patients undergoing total knee or total hip arthroplasty achieve an …
Using unsupervised machine learning to predict quality of life after total knee arthroplasty
Background Patient-reported outcome measures (PROMs) are an important metric to assess
total knee arthroplasty (TKA) patients. The purpose of this study was to use a machine …
total knee arthroplasty (TKA) patients. The purpose of this study was to use a machine …
Can machine learning algorithms predict which patients will achieve minimally clinically important differences from total joint arthroplasty?
MA Fontana, S Lyman, GK Sarker… - Clinical Orthopaedics …, 2019 - journals.lww.com
Background Identifying patients at risk of not achieving meaningful gains in long-term
postsurgical patient-reported outcome measures (PROMs) is important for improving patient …
postsurgical patient-reported outcome measures (PROMs) is important for improving patient …
Predicting whether patients will achieve minimal clinically important differences following hip or knee arthroplasty: a performance comparison of machine learning …
B Langenberger, D Schrednitzki… - Bone & Joint …, 2023 - boneandjoint.org.uk
Aims A substantial fraction of patients undergoing knee arthroplasty (KA) or hip arthroplasty
(HA) do not achieve an improvement as high as the minimal clinically important difference …
(HA) do not achieve an improvement as high as the minimal clinically important difference …
The paradox of patient-reported outcome measures: should we prioritize “feeling better” or “feeling good” after total knee arthroplasty?
Background The use of preoperative patient-reported outcome measure (PROM) thresholds
for patient selection in arthroplasty care has been questioned recently. This study aimed to …
for patient selection in arthroplasty care has been questioned recently. This study aimed to …
The utility of machine learning algorithms for the prediction of patient-reported outcome measures following primary hip and knee total joint arthroplasty
Background Patient-reported outcome measures (PROMs) are increasingly used as quality
benchmark in total hip and knee arthroplasty (THA; TKA) due to bundled payment systems …
benchmark in total hip and knee arthroplasty (THA; TKA) due to bundled payment systems …
Can machine learning methods produce accurate and easy-to-use preoperative prediction models of one-year improvements in pain and functioning after knee …
AHS Harris, AC Kuo, TR Bowe, L Manfredi… - The Journal of …, 2021 - Elsevier
Abstract Background Approximately 15%-20% of total knee arthroplasty (TKA) patients do
not experience clinically meaningful improvements. We sought to compare the accuracy and …
not experience clinically meaningful improvements. We sought to compare the accuracy and …
[HTML][HTML] A novel, potentially universal machine learning algorithm to predict complications in total knee arthroplasty
Background There remains a lack of accurate and validated outcome-prediction models in
total knee arthroplasty (TKA). While machine learning (ML) is a powerful predictive tool …
total knee arthroplasty (TKA). While machine learning (ML) is a powerful predictive tool …
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