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A Machine Learning Approach to Determine the Optimal Age for Total Hip Arthroplasty: When Is Risk for Adverse Outcomes Lowest?

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Title: A Machine Learning Approach to Determine the Optimal Age for Total Hip Arthroplasty: When Is Risk for Adverse Outcomes Lowest?
Authors: Heiting C; From the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY (Heiting), Weill Cornell Medicine, New York, NY (Wu, Goodman, Wang, and Mehta), Hospital for Special Surgery, New York, NY (Goodman, Sculco, and Mehta), Sidney Kimmel Medical College, Philadelphia, PA (Ibrahim), University of Maryland School of Medicine, Baltimore, MD (Cram), and Intelligible Inc., Redmond, WA (Caruana)., Wu Y, Goodman SM, Sculco P, Wang F, Ibrahim S, Cram P, Caruana R, Mehta B
Source: The Journal of the American Academy of Orthopaedic Surgeons [J Am Acad Orthop Surg] 2026 Jun 03. Date of Electronic Publication: 2026 Jun 03.
Publication Type: Journal Article
Journal Info: Publisher: Wolters Kluwer Country of Publication: United States NLM ID: 9417468 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1940-5480 (Electronic) Linking ISSN: 1067151X NLM ISO Abbreviation: J Am Acad Orthop Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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DbLabel: MEDLINE Ultimate
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Machine Learning Approach to Determine the Optimal Age for Total Hip Arthroplasty: When Is Risk for Adverse Outcomes Lowest?
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  Data: <searchLink fieldCode="AU" term="%22Heiting+C%22">Heiting C</searchLink>; From the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY (Heiting), Weill Cornell Medicine, New York, NY (Wu, Goodman, Wang, and Mehta), Hospital for Special Surgery, New York, NY (Goodman, Sculco, and Mehta), Sidney Kimmel Medical College, Philadelphia, PA (Ibrahim), University of Maryland School of Medicine, Baltimore, MD (Cram), and Intelligible Inc., Redmond, WA (Caruana).<br /><searchLink fieldCode="AU" term="%22Wu+Y%22">Wu Y</searchLink><br /><searchLink fieldCode="AU" term="%22Goodman+SM%22">Goodman SM</searchLink><br /><searchLink fieldCode="AU" term="%22Sculco+P%22">Sculco P</searchLink><br /><searchLink fieldCode="AU" term="%22Wang+F%22">Wang F</searchLink><br /><searchLink fieldCode="AU" term="%22Ibrahim+S%22">Ibrahim S</searchLink><br /><searchLink fieldCode="AU" term="%22Cram+P%22">Cram P</searchLink><br /><searchLink fieldCode="AU" term="%22Caruana+R%22">Caruana R</searchLink><br /><searchLink fieldCode="AU" term="%22Mehta+B%22">Mehta B</searchLink>
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  Data: <searchLink fieldCode="JN" term="%229417468%22">The Journal of the American Academy of Orthopaedic Surgeons</searchLink> [J Am Acad Orthop Surg] 2026 Jun 03. <i>Date of Electronic Publication: </i>2026 Jun 03.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wolters+Kluwer%22">Wolters Kluwer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9417468 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1940-5480 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221067151X%22">1067151X </searchLink><i>NLM ISO Abbreviation: </i>J Am Acad Orthop Surg <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.5435/JAAOS-D-25-01248
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      – Code: eng
        Text: English
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      – TitleFull: A Machine Learning Approach to Determine the Optimal Age for Total Hip Arthroplasty: When Is Risk for Adverse Outcomes Lowest?
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            NameFull: Heiting C
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            NameFull: Wu Y
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            – D: 03
              M: 06
              Text: 2026 Jun 03
              Type: published
              Y: 2026
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            – Type: issn-electronic
              Value: 1940-5480
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            – TitleFull: The Journal of the American Academy of Orthopaedic Surgeons
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