一种利用深度学习预测心脏再同步治疗响应的新方法（英文版）

英文标题：A new method using deep learning to predict the response to cardiac resynchronization therapy中文摘要：使用深度学习模型将临床参数、心电图特征、心脏功能评估参数和 SPECT MPI 的极地图相结合，预测心脏重同步治疗的患者反应，对于预测预后具有较高准确性。英文摘要：Background. Clinical parameters measured from gated single-photon emissioncomputed tomography myocardial perfusion imaging (SPECT MPI) have value inpredicting cardiac resynchronization therapy (CRT) patient outcomes, but stillshow limitations. The purpose of this study is to combine clinical variables,features fr