Juntao Ren1, Nan Jiang1, Lurong Jiang1

  • 1School of Information Science and Engineering (School of Cyber Science and Technology), Zhejiang Sci-Tech University, Hangzhou, 310018, China; Provincial Key Laboratory for Research and Translation of Kidney Deficiency-Stasis-Turbidity Disease, Hangzhou, 310018, China.

概括

这项研究引入了一种新的两步预测方法,使用PSO-DAM-2DCNN模型和k-of-n逻辑过器. 该方法改善了患者的时间连续性和实际实用性.