A machine learning approach using gait parameters to cluster TKA subjects into stable and unstable joints for discovery analysis.
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| Title: | A machine learning approach using gait parameters to cluster TKA subjects into stable and unstable joints for discovery analysis. |
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| Authors: | Ramirez EM; Department of Orthopedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL 60612, USA., Ebinger K; Department of Orthopedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL 60612, USA., Nam D; Department of Orthopedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL 60612, USA., Ferrigno C; Department of Orthopedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL 60612, USA., Wimmer MA; Department of Orthopedic Surgery, Rush University Medical Center, 1611 W. Harrison Street, Chicago, IL 60612, USA. Electronic address: markus_a_wimmer@rush.edu. |
| Source: | The Knee [Knee] 2025 Jun; Vol. 54, pp. 167-177. Date of Electronic Publication: 2025 Mar 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9430798 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-5800 (Electronic) Linking ISSN: 09680160 NLM ISO Abbreviation: Knee Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1873-5800 |
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| DOI: | 10.1016/j.knee.2025.02.018 |
