Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?
- DOI
- 10.1097/corr.0000000000000687
- Published
- 2019 Jun
- Container
- Clinical orthopaedics and related research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1097/corr.0000000000000687,
title = {Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?},
author = {Fontana MA and Lyman S and Sarker GK and Padgett DE and MacLean CH},
year = {2019},
journal = {Clinical orthopaedics and related research},
doi = {10.1097/corr.0000000000000687},
url = {https://doi.org/10.1097/corr.0000000000000687}
}RIS
TY - JOUR TI - Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty? AU - Fontana MA AU - Lyman S AU - Sarker GK AU - Padgett DE AU - MacLean CH PY - 2019 JO - Clinical orthopaedics and related research DO - 10.1097/corr.0000000000000687 UR - https://doi.org/10.1097/corr.0000000000000687 ER -
APA
MA, F., S, L., GK, S., DE, P., & CH, M. (2019). Can Machine Learning Algorithms Predict Which Patients Will Achieve Minimally Clinically Important Differences From Total Joint Arthroplasty?. Clinical orthopaedics and related research. https://doi.org/10.1097/corr.0000000000000687
Source records
- pubmed · retrieved 2026-09-26T13:56:06.258Z