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.
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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ISSN:1432-1068
DOI:10.1007/s00590-024-04076-5