Introducing OBERD CAT API for all AAOS Recommend PROs

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03/01/21

Machine Learning Can Predict Level of Improvement in Shoulder Arthroplasty

McLendon, Paul B. MD; Christmas, Kaitlyn N. BS, CCRC; Simon, Peter PhD; Plummer, Otho R. PhD; Hunt, Audrey BS; Ahmed, Adil S. MD; Mighell, Mark A. MD; Frankle, Mark A. MD. (2021). Machine Learning Can Predict Level of Improvement in Shoulder Arthroplasty. JBJS. 10.2106/JBJS.OA.20.00128

Improving Efficiency of Patient-Reported Outcome Collection

Use of Computerized Adaptive Testing to Develop More Concise Patient-Reported Outcome Measures

Accuracy and Validity of Computer Adaptive Testing for Outcome Assessment in Patients Undergoing Total Knee Arthroplasty

Accuracy and Validity of Computer Adaptive Testing for Outcome Assessment in Patients Undergoing Total Hip Arthroplasty

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A concise shoulder outcome measure - application of computerized adaptive testing to the American Shoulder and Elbow Surgeons Shoulder Assessment

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Publications

Machine Learning Can Predict Level of Improvement in Shoulder Arthroplasty

Improving Efficiency of Patient-Reported Outcome Collection

Use of Computerized Adaptive Testing to Develop More Concise Patient-Reported Outcome Measures

Accuracy and Validity of Computer Adaptive Testing for Outcome Assessment in Patients Undergoing Total Knee Arthroplasty

Accuracy and Validity of Computer Adaptive Testing for Outcome Assessment in Patients Undergoing Total Hip Arthroplasty

A concise shoulder outcome measure - application of computerized adaptive testing to the American Shoulder and Elbow Surgeons Shoulder Assessment

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