Interpretable prediction model for hand-foot-and-mouth disease incidence based on improved LSTM and XGBoost by Xiao LI, Shuyu HE, Yan PENG, Rongxin YANG, Lu TAO, Tingqi LOU, Wenqi HE

“…By simulating the selection, crossover, and mutation mechanisms in biological evolution, the GA efficiently searches for optimal solutions in the parameter space, thereby optimizing the performance of XGBoost. …”
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