Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review.
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| Title: | Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review. |
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| Authors: | Sanghvi PA; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA., Shah AK; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA., Hecht CJ; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA., Karimi AH; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA., Kamath AF; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA. akamath@post.harvard.edu. |
| Source: | European journal of orthopaedic surgery & traumatology : orthopedie traumatologie [Eur J Orthop Surg Traumatol] 2024 Dec; Vol. 34 (8), pp. 3809-3825. Date of Electronic Publication: 2024 Aug 30. |
| Publication Type: | Journal Article; Systematic Review |
| Journal Info: | Publisher: Springer-Verlag France Country of Publication: France NLM ID: 9518037 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1068 (Electronic) Linking ISSN: 16338065 NLM ISO Abbreviation: Eur J Orthop Surg Traumatol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39212689 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Sanghvi+PA%22">Sanghvi PA</searchLink>; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA.<br /><searchLink fieldCode="AU" term="%22Shah+AK%22">Shah AK</searchLink>; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA.<br /><searchLink fieldCode="AU" term="%22Hecht+CJ%22">Hecht CJ</searchLink>; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA.<br /><searchLink fieldCode="AU" term="%22Karimi+AH%22">Karimi AH</searchLink>; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA.<br /><searchLink fieldCode="AU" term="%22Kamath+AF%22">Kamath AF</searchLink>; Department of Orthopaedic Surgery, Center for Hip Preservation, Orthopaedic and Rheumatologic Institute, Institute Cleveland Clinic Foundation, Mail code A41, 9500 Euclid Ave, Cleveland, OH, 44195, USA. akamath@post.harvard.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229518037%22">European journal of orthopaedic surgery & traumatology : orthopedie traumatologie</searchLink> [Eur J Orthop Surg Traumatol] 2024 Dec; Vol. 34 (8), pp. 3809-3825. <i>Date of Electronic Publication: </i>2024 Aug 30. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Systematic Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer-Verlag+France%22">Springer-Verlag France </searchLink><i>Country of Publication: </i>France <i>NLM ID: </i>9518037 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1068 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216338065%22">16338065 </searchLink><i>NLM ISO Abbreviation: </i>Eur J Orthop Surg Traumatol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39212689 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00590-024-04076-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 3809 Titles: – TitleFull: Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sanghvi PA – PersonEntity: Name: NameFull: Shah AK – PersonEntity: Name: NameFull: Hecht CJ – PersonEntity: Name: NameFull: Karimi AH – PersonEntity: Name: NameFull: Kamath AF IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2024 Dec Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1432-1068 Numbering: – Type: volume Value: 34 – Type: issue Value: 8 Titles: – TitleFull: European journal of orthopaedic surgery & traumatology : orthopedie traumatologie Type: main |
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