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What Is the Accuracy of Three Different Machine Learning Techniques to Predict Clinical Outcomes After Shoulder Arthroplasty?
84
Zitationen
9
Autoren
2020
Jahr
Abstract
Three different commercially available machine learning techniques were used to train and test models that predicted clinical outcomes after aTSA and rTSA; this device-type comparison was performed to demonstrate how predictive modeling techniques can be used in the near future to help answer unsolved clinical questions and augment decision-making to improve outcomes after shoulder arthroplasty.
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Autoren
Institutionen
- Defense Threat Reduction Agency(US)
- VA Office of Research and Development(US)
- Université d'Oran 2(DZ)
- Center for Clinical Research (United States)(US)
- International Drug Development(FR)
- Kumi University(UG)
- Exactech (United States)(US)
- University of Washington(US)
- Palm Beach Neurology(US)
- Clinique du Sport(FR)
- University of Florida(US)
- New York University Langone Orthopedic Hospital(US)
- Palm Beach Gardens Medical Center(US)