Detection of common risk factors for diagnosis of cardiac arrhythmia using machine learning algorithm

作者：

Highlights：

• Cardiac arrhythmias are diagnosed based on patient-reported qualitative symptoms.

• Random forest model supports in Cardiac arrhythmia diagnosis.

• This model also helps to identify critical features of arrhythmia diagnosis.

• The model achieved the best accuracy to confirm the features importance.

摘要

•Cardiac arrhythmias are diagnosed based on patient-reported qualitative symptoms.•Random forest model supports in Cardiac arrhythmia diagnosis.•This model also helps to identify critical features of arrhythmia diagnosis.•The model achieved the best accuracy to confirm the features importance.

论文关键词：Cardiac arrhythmia,Machine learning,Random forest,MIMIC-III database,Electrocardiogram

论文评审过程：Received 11 March 2020, Revised 18 July 2020, Accepted 29 July 2020, Available online 3 August 2020, Version of Record 5 August 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113807