AIMC Topic: Minimal Clinically Important Difference

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Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Clinical orthopaedics and related research Jun 1, 2019
BACKGROUND: Identifying patients at risk of not achieving meaningful gains in long-term postsurgical patient-reported outcome measures (PROMs) is important for improving patient monitoring and facilitating presurgical decision support. Machine learni...
Humans Machine Learning Retrospective Studies Female Aged Male Middle Aged Predictive Value of Tests Disability Evaluation Registries Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Arthroplasty, Replacement, Hip Minimal Clinically Important Difference
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Editor's Spotlight/Take 5: Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?

Clinical orthopaedics and related research Jun 1, 2019
Humans Machine Learning Retrospective Studies Female Aged Male Middle Aged Predictive Value of Tests Disability Evaluation Registries Arthroplasty, Replacement, Knee Patient Reported Outcome Measures Arthroplasty, Replacement, Hip Minimal Clinically Important Difference
View on PubMed DOI
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