Explainable machine learning for orthopedic decision-making: predicting functional outcomes of total hip replacement from gait biomechanics
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DOI: 10.1186/s13075-025-03709-2
Bibliographic record from the original reports
Access labels embedded in these original reference strings are historical. Current access and exact checked components are stated separately below.
Stetter BJ, Dully J, Stief F, Holder J, Steingrebe H, Zaucke F, et al. Explainable machine learning for orthopedic decision-making: predicting functional outcomes of total hip replacement from gait biomechanics. Arthritis research & therapy. 2025;27(1):229. DOI 10.1186/s13075-025-03709-2 Source examined: Original article body retrieved.
Conditions: COND-THA Total hip arthroplasty
Scoped audit evidence
These are source- and component-level audit summaries as of 3 October 2026. Access and comparison scope can differ by report; none certifies every result or the underlying raw data.
Total hip arthroplasty
- current access class: original_body_or_pdf_available
- source version note: Version and incomplete-table limitations preserved in evidence notes.
109 HOA, 63 postoperative subset, 56 controls; 18 waveforms, PCA and clustering; SVM10-fold current-pattern discrimination, postop projected into prior model. Source states data collected over 10-year period.
Source locator: Methods Participants/Data processing/Classification; Discussion Limitations
Limitations: Classification of current gait and subgroup shifts is not external prediction of unseen future participation; report interpretation sound. Substantive original material obtained; this is not proof of original report author access or every table/supplement being inspected.
Reports citing this source
- Gait assessment and prognosis after total hip arthroplasty · reference 28 · original reference
Update record
- 2026-10-03: Created from the supplied reports and final scoped audit. New evidence should be appended with source version, access date, exact locator and affected report links.
Updating the wiki · Evidence and status guide