Predicting Patient-Reported Outcome Measures, Satisfaction, Healthcare Utilization, Mortality, and Return to Work After Total Knee Arthroplasty Using Machine Learning: A 14,900-Patient Study.
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| Title: | Predicting Patient-Reported Outcome Measures, Satisfaction, Healthcare Utilization, Mortality, and Return to Work After Total Knee Arthroplasty Using Machine Learning: A 14,900-Patient Study. |
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| Authors: | Khan ST; Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH, USA., Sharma A; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA., Patel SV; Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH, USA., Jevnikar BE; Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH, USA., Rotroff D; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH, USA., Piuzzi NS; Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH, USA; Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA. Electronic address: piuzzin@ccf.org. |
| Corporate Authors: | Cleveland Clinic Center of Excellence in Osteoarthritis Group |
| Source: | The Journal of arthroplasty [J Arthroplasty] 2026 Jul 14. Date of Electronic Publication: 2026 Jul 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor and Francis Country of Publication: United States NLM ID: 8703515 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-8406 (Electronic) Linking ISSN: 08835403 NLM ISO Abbreviation: J Arthroplasty Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1532-8406 |
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| DOI: | 10.1016/j.arth.2026.07.007 |
