A development of machine learning models to preoperatively predict insufficient clinical improvement after total knee arthroplasty.
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| Title: | A development of machine learning models to preoperatively predict insufficient clinical improvement after total knee arthroplasty. |
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| Authors: | Gimm, Geunwu1,2 gwgimm47@gmail.com, Jeon, Byoungjun3 bjjeon125@gmail.com, Kim, Sung Eun2,4 paxgospel@gmail.com, Kim, Byeong Soo5 qudtngh@snu.ac.kr, Han, Hyuk-Soo2,4 oshawks7@snu.ac.kr, Kim, Sungwan1,5 sungwan@snu.ac.kr |
| Source: | Journal of Orthopaedic Surgery & Research. 8/20/2025, Vol. 20 Issue 1, p1-14. 14p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 187433669 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A development of machine learning models to preoperatively predict insufficient clinical improvement after total knee arthroplasty. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gimm%2C+Geunwu%22">Gimm, Geunwu</searchLink><relatesTo>1,2</relatesTo><i> gwgimm47@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Jeon%2C+Byoungjun%22">Jeon, Byoungjun</searchLink><relatesTo>3</relatesTo><i> bjjeon125@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Sung+Eun%22">Kim, Sung Eun</searchLink><relatesTo>2,4</relatesTo><i> paxgospel@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Byeong+Soo%22">Kim, Byeong Soo</searchLink><relatesTo>5</relatesTo><i> qudtngh@snu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Han%2C+Hyuk-Soo%22">Han, Hyuk-Soo</searchLink><relatesTo>2,4</relatesTo><i> oshawks7@snu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Sungwan%22">Kim, Sungwan</searchLink><relatesTo>1,5</relatesTo><i> sungwan@snu.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Orthopaedic+Surgery+%26+Research%22">Journal of Orthopaedic Surgery & Research</searchLink>. 8/20/2025, Vol. 20 Issue 1, p1-14. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187433669 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13018-025-06206-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Titles: – TitleFull: A development of machine learning models to preoperatively predict insufficient clinical improvement after total knee arthroplasty. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gimm, Geunwu – PersonEntity: Name: NameFull: Jeon, Byoungjun – PersonEntity: Name: NameFull: Kim, Sung Eun – PersonEntity: Name: NameFull: Kim, Byeong Soo – PersonEntity: Name: NameFull: Han, Hyuk-Soo – PersonEntity: Name: NameFull: Kim, Sungwan IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 08 Text: 8/20/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 1749799X Numbering: – Type: volume Value: 20 – Type: issue Value: 1 Titles: – TitleFull: Journal of Orthopaedic Surgery & Research Type: main |
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