Datasets_Features.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.本数据集为《用于机器学习与数据挖掘技术辅助冠状动脉疾病诊断》研究论文的配套数据集。该数据集包含15张数据表。我们选取了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（CAD，Coronary Artery Disease）检测相关研究的论文进行收录，该筛选标准最终共纳入126篇相关论文，累计有490位作者参与了这些论文的研究与撰写工作。这些论文共研究了68个不同的数据集，采集了逾360种各异的特征，数据采集工作覆盖亚洲、欧洲、美洲的18个国家。上述研究中共应用了140种不同的机器学习或数据挖掘技术用于冠状动脉疾病的诊断。若需使用CSV格式文件，可在Excel中打开，或将其导入至您的数据库系统中。