View in EDS

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.

Saved in:
Bibliographic Details
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.
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42448250
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: 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.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Khan+ST%22">Khan ST</searchLink>; Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH, USA.<br /><searchLink fieldCode="AU" term="%22Sharma+A%22">Sharma A</searchLink>; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.<br /><searchLink fieldCode="AU" term="%22Patel+SV%22">Patel SV</searchLink>; Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH, USA.<br /><searchLink fieldCode="AU" term="%22Jevnikar+BE%22">Jevnikar BE</searchLink>; Department of Orthopedic Surgery, Cleveland Clinic, Cleveland, OH, USA.<br /><searchLink fieldCode="AU" term="%22Rotroff+D%22">Rotroff D</searchLink>; Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH, USA.<br /><searchLink fieldCode="AU" term="%22Piuzzi+NS%22">Piuzzi NS</searchLink>; 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.
– Name: AuthorCorporate
  Label: Corporate Authors
  Group: Au
  Data: <searchLink fieldCode="CA" term="%22Cleveland+Clinic+Center+of+Excellence+in+Osteoarthritis+Group%22">Cleveland Clinic Center of Excellence in Osteoarthritis Group</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228703515%22">The Journal of arthroplasty</searchLink> [J Arthroplasty] 2026 Jul 14. <i>Date of Electronic Publication: </i>2026 Jul 14.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Taylor+and+Francis%22">Taylor and Francis </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8703515 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1532-8406 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208835403%22">08835403 </searchLink><i>NLM ISO Abbreviation: </i>J Arthroplasty <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42448250
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.arth.2026.07.007
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: 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.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Khan ST
      – PersonEntity:
          Name:
            NameFull: Sharma A
      – PersonEntity:
          Name:
            NameFull: Patel SV
      – PersonEntity:
          Name:
            NameFull: Jevnikar BE
      – PersonEntity:
          Name:
            NameFull: Rotroff D
      – PersonEntity:
          Name:
            NameFull: Piuzzi NS
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 14
              M: 07
              Text: 2026 Jul 14
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1532-8406
          Titles:
            – TitleFull: The Journal of arthroplasty
              Type: main
ResultId 1