Evaluation of machine learning techniques for real-time prediction of implanted lower limb mechanics.

Saved in:
Bibliographic Details
Title: Evaluation of machine learning techniques for real-time prediction of implanted lower limb mechanics.
Authors: Maag C; DePuy Synthes, Warsaw, IN, United States., Fitzpatrick CK; Department of Mechanical and Biomedical Engineering, Boise State University, Boise, ID, United States., Rullkoetter PJ; Center for Orthopaedic Biomechanics, University of Denver, Denver, CO, United States.
Source: Frontiers in bioengineering and biotechnology [Front Bioeng Biotechnol] 2025 Jan 15; Vol. 12, pp. 1461768. Date of Electronic Publication: 2025 Jan 15 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101632513 Publication Model: eCollection Cited Medium: Print ISSN: 2296-4185 (Print) Linking ISSN: 22964185 NLM ISO Abbreviation: Front Bioeng Biotechnol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2296-4185
DOI:10.3389/fbioe.2024.1461768