Methods.csv

This Database belongs to “A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease diagnosis” research paper. This database includes 15 tables. We chose to index papers related to CAD detection using machine learning and data mining approaches that are published between 1992 and 2018. These criteria result in 126 papers in which 490 authors contributed to these papers. These papers studied 68 different datasets with almost more than 360 distinct features collected in 18 countries from Asia, Europe, and America. In these papers, 140 different machine learning or data mining techniques were applied to diagnose CAD. To use csv file, open it in excel or import it in your database.

本数据集隶属于《面向冠状动脉疾病诊断的机器学习与数据挖掘技术研究》（"A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease diagnosis"）学术论文。该数据集共包含15张数据表。本次研究选取了1992年至2018年间发表的、采用机器学习与数据挖掘方法开展冠状动脉疾病（Coronary Artery Disease, CAD）检测的相关文献，经筛选最终纳入126篇相关研究，累计有490位作者参与此项工作。上述文献共涉及68个独立数据集，采集了来自亚洲、欧洲、美洲18个国家的总计逾360种不同特征。本次研究共应用了140种不同的机器学习或数据挖掘技术用于冠状动脉疾病诊断。若需使用本数据集的CSV格式文件，可通过Excel软件打开，或直接导入至数据库中使用。