Can Machine Learning Methods Produce Accurate and Easy-to-use Prediction Models of 30-day Complications and Mortality After Knee or Hip Arthroplasty?

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作者： Harris, Alex H. S. ^[1] ; Kuo, Alfred C. ^[2] ; Weng, Yingjie ^[3] ; Trickey, Amber W. ; Bowe, Thomas ; Giori, Nicholas J.

作者单位： VA Palo Alto Healthcare Syst, Ctr Innovat Implementat, Palo Alto, CA USA ^[1] Stanford Surg Policy Improvement Res & Educ Ctr, Stanford, CA USA ^[2] Univ Calif San Francisco, San Francisco Vet Affairs Med Ctr, San Francisco, CA 94143 USA ^[3]

发布时间 2019-11-16

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Clinical Orthopaedics and Related Research

2019年477卷2期

452-460页

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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?

Clinical Orthopaedics and Related Research

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Clinical Orthopaedics and Related Research

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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?

Clinical Orthopaedics and Related Research

相似文献

Clinical Orthopaedics and Related Research

相关期刊

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