Accuracy of machine learning techniques for real-time prediction of implanted lower limb mechanics with comprehensive and reduced input parameters.

Saved in:
Bibliographic Details
Title: Accuracy of machine learning techniques for real-time prediction of implanted lower limb mechanics with comprehensive and reduced input parameters.
Authors: Maag C; Johnson & Johnson MedTech, Warsaw, IN, USA., Fitzpatrick CK; Department of Mechanical and Biomedical Engineering, Boise State University, Boise, ID, USA., Rullkoetter PJ; Center for Orthopaedic Biomechanics, University of Denver, Denver, CO, USA.
Source: Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2025 Sep 23, pp. 1-11. Date of Electronic Publication: 2025 Sep 23.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9802899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-8259 (Electronic) Linking ISSN: 10255842 NLM ISO Abbreviation: Comput Methods Biomech Biomed Engin Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-8259
DOI:10.1080/10255842.2025.2554259