Fig. 2

Sports Injury Prediction Model of the Proposed DLS. Note: \({G}_{y}\): Injury classifier. \({G}_{d}^{^{\prime}}\): Domain classifier. \({G}_{d}^{w}\): Weighted domain discriminator. \({\widehat{y}}_{m}^{s}\): Sample label prediction probability. \({\widehat{d}}_{m}^{^{\prime}}\): Sample domain prediction probability. \({w}_{m}^{s}\): Source domain sample weight. \({w}_{m}^{t}\): Target domain sample weight. \({w}_{0}\): Sample weight threshold. \({C}_{t}\): The target domain shares the set. \(\overline{{C }_{t}}\): Unknown set of target domain. \({L}_{y}\): Injure classification loss function. \({L}_{d}^{^{\prime}}\): Domain classification loss function. \({L}_{d}^{w}\): Weighted domain classification loss function. \({\widehat{d}}_{m}^{w}\): Weighted sample domain prediction probabilities