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 …
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 …
Can machine learning methods produce accurate and easy-to-use prediction models of 30-day complications and mortality after knee or hip arthroplasty?
Background Existing universal and procedure-specific surgical risk prediction models of
death and major complications after elective total joint arthroplasty (TJA) have limitations …
death and major complications after elective total joint arthroplasty (TJA) have limitations …
Advanced decision‐making using patient‐reported outcome measures in total joint replacement
P Jayakumar, KJ Bozic - Journal of Orthopaedic Research®, 2020 - Wiley Online Library
Up to one‐third of total joint replacement (TJR) procedures may be performed
inappropriately in a subset of patients who remain dissatisfied with their outcomes, stressing …
inappropriately in a subset of patients who remain dissatisfied with their outcomes, stressing …
Can preoperative patient-reported outcome measures be used to predict meaningful improvement in function after TKA?
JL Berliner, DJ Brodke, V Chan… - Clinical Orthopaedics …, 2017 - journals.lww.com
Background Despite the overall effectiveness of total knee arthroplasty (TKA), a subset of
patients do not experience expected improvements in pain, physical function, and quality of …
patients do not experience expected improvements in pain, physical function, and quality of …
Early patient-reported outcomes from primary hip and knee arthroplasty have improved over the past seven years: an analysis of the NHS PROMs dataset
Aims Routinely collected patient-reported outcome measures (PROMs) have been useful to
quantify and quality-assess provision of total hip arthroplasty (THA) and total knee …
quantify and quality-assess provision of total hip arthroplasty (THA) and total knee …
Machine learning algorithms can use wearable sensor data to accurately predict six-week patient-reported outcome scores following joint replacement in a …
SA Bini, RF Shah, I Bendich, JT Patterson… - The Journal of …, 2019 - Elsevier
Background Tracking patient-generated health data (PGHD) following total joint arthroplasty
(TJA) may enable data-driven early intervention to improve clinical results. We aim to …
(TJA) may enable data-driven early intervention to improve clinical results. We aim to …
[HTML][HTML] Patient-reported outcome measures in total joint arthroplasty: defining the optimal collection window
M Canfield, L Savoy, MP Cote, MJ Halawi - Arthroplasty Today, 2020 - Elsevier
Background The purpose of this study was to determine the optimal window for collection of
patient-reported outcome measures (PROMs) after total joint arthroplasty (TJA). Methods …
patient-reported outcome measures (PROMs) after total joint arthroplasty (TJA). Methods …
Developing a personalized outcome prediction tool for knee arthroplasty
HK Anis, GJ Strnad, AK Klika, A Zajichek… - The Bone & Joint …, 2020 - boneandjoint.org.uk
Aims The purpose of this study was to develop a personalized outcome prediction tool, to be
used with knee arthroplasty patients, that predicts outcomes (lengths of stay (LOS), 90 day …
used with knee arthroplasty patients, that predicts outcomes (lengths of stay (LOS), 90 day …