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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 including poor transparency, poor to modest accuracy, and insufficient validation to establish performance across dive...
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Pubblicato in: | Clin Orthop Relat Res |
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Autori principali: | , , , , , |
Natura: | Artigo |
Lingua: | Inglês |
Pubblicazione: |
Wolters Kluwer
2019
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Soggetti: | |
Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6370104/ https://ncbi.nlm.nih.gov/pubmed/30624314 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/CORR.0000000000000601 |
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