Hadis Shahrahmani, Nourossadat Kariman, Atefeh Ahmadi, Malihe Nasiri, Zohreh Keshavarz
Factors Related to Health Literacy Among the Iranian Population: A Scoping Review
Medical journal of the Islamic Republic of Iran
one many fundamental sports techniques landing maneuver also frequently used clinical injury screening diagnosis however landing patterns different different constraints cause great difficulties clinical experts clinical diagnosis machine learning ml successful solving variety clinical diagnosis tasks disadvantage black boxes rarely provide explain useful information reasons making particular decision current work validates feasibility applying explainable ml xml model constructed layerwise relevance propagation lrp landing pattern recognition clinical biomechanics study collected 560 groups landing data incorporating landing data xml model input signals prediction results interpreted based relevance score rs derived lrp interpretation obtained xml evaluated comprehensively statistical perspective based statistical parametric mapping spm effect size rs excellent statistical characteristics interpretation landing patterns classes also conforms clinical characteristics landing pattern recognition current work highlights applicability xml methods satisfy traditional decision problem classes also largely solve lack transparency landing pattern recognition provide feasible framework realizing interpretability ml decision results landing analysis providing methodological reference solid foundation future clinical diagnosis biomechanical analysis