Diseases.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.

本数据集隶属于题为《面向冠状动脉疾病诊断的机器学习与数据挖掘技术》的研究论文。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、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）检测的相关文献进行索引整理，按照筛选标准最终纳入126篇文献，累计共有490位作者参与相关研究。上述文献共分析了68个不同数据集，涵盖超过360种不同特征，相关数据采集自亚洲、欧洲、美洲的18个国家。这些文献中共应用了140种不同的机器学习或数据挖掘技术用于冠状动脉疾病诊断。若需使用CSV格式文件，可通过Excel打开，或将其导入至您的数据库系统中。