基于模式识别和集成CNN-LSTM的阵发性房颤预测模型
杨萍,王丹,康子健,李童,付利华,余悦任

Prediction model of paroxysmal atrial fibrillation based on pattern recognition and ensemble CNN-LSTM
Ping YANG,Dan WANG,Zi-jian KAGN,Tong LI,Li-hua FU,Yue-ren YU
表 6 基学习器的实验性能对比
Tab.6 Experimental results comparison of base learners
基学习器 p DIp ACC / %
1 1 0.98 84.09
2 2 0.76 89.33
3 3 0.41 89.52
4 4 0.16 75.64