Machine learning-based heart disease diagnosis: A systematic literature review

作者：

Highlights：

• In the diagnosis of heart disease, machine learning approaches help to improve data-driven decision-making.

• A metadata analysis of 451 articles and content analysis of 49 selected articles of heart disease diagnosis.

• Researchers primarily focused on models' performance while disregarding issues like interpretability and explainability.

摘要

•In the diagnosis of heart disease, machine learning approaches help to improve data-driven decision-making.•A metadata analysis of 451 articles and content analysis of 49 selected articles of heart disease diagnosis.•Researchers primarily focused on models' performance while disregarding issues like interpretability and explainability.

论文关键词：Heart disease,Machine learning,Deep learning,Imbalanced data,Literature review,ECG

论文评审过程：Received 13 December 2021, Accepted 22 March 2022, Available online 29 March 2022, Version of Record 31 March 2022.

论文官网地址：https://doi.org/10.1016/j.artmed.2022.102289