A new method applied for explaining the landing patterns: Interpretability analysis of machine learning.

ABSTRACT: As one of many fundamental sports techniques, the landing maneuver is also frequently used in clinical injury screening and diagnosis. However, the landing patterns are different under different constraints, which will cause great difficulties for clinical experts in clinical diagnosis. Machine learning (ML) have been very successful in solving a variety of clinical diagnosis tasks, but they all have the disadvantage of being black boxes and rarely provide and explain useful information about the reasons for making a particular decision. The current work validates the feasibility of applying an explainable ML (XML) model constructed by Layer-wise Relevance Propagation (LRP) for landing pattern recognition in clinical biomechanics. This study collected 560 groups landing data. By incorporat

SUBMITTER: Xu D 

PROVIDER: S-EPMC10869904 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature