Cardiovascular diseases identification using electrocardiogram health identifier based on multiple criteria decision making

作者：

Highlights：

• Binary classifier (BC) and multi-class classifier (MCC) are designed and analyzed.

• A scheme namely MCC–BC will pave the way for speedy and accurate ECGHI.

• A confidence index is newly proposed to evaluate the performance of ECGHI.

• MCDM using AHP has been developed to evaluate the optimal hyperplanes of ECGHI.

摘要

•Binary classifier (BC) and multi-class classifier (MCC) are designed and analyzed.•A scheme namely MCC–BC will pave the way for speedy and accurate ECGHI.•A confidence index is newly proposed to evaluate the performance of ECGHI.•MCDM using AHP has been developed to evaluate the optimal hyperplanes of ECGHI.

论文关键词：Cardiovascular diseases,Electrocardiogram,Feature vector,Multiple criteria decision making,Support vector machine

论文评审过程：Available online 4 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.059