Ramirez, E. M., Ebinger, K., Nam, D., Ferrigno, C., & Wimmer, M. A. (2025). A machine learning approach using gait parameters to cluster TKA subjects into stable and unstable joints for discovery analysis. The knee, 54, 167-177. https://doi.org/10.1016/j.knee.2025.02.018
Chicago Style (17th ed.) CitationRamirez, Erica M., Kathrin Ebinger, Denis Nam, Christopher Ferrigno, and Markus A. Wimmer. "A Machine Learning Approach Using Gait Parameters to Cluster TKA Subjects into Stable and Unstable Joints for Discovery Analysis." The Knee 54 (2025): 167-177. https://doi.org/10.1016/j.knee.2025.02.018.
MLA (9th ed.) CitationRamirez, Erica M., et al. "A Machine Learning Approach Using Gait Parameters to Cluster TKA Subjects into Stable and Unstable Joints for Discovery Analysis." The Knee, vol. 54, 2025, pp. 167-177, https://doi.org/10.1016/j.knee.2025.02.018.