(2019) A database for using machine learning and data mining techniques for coronary artery disease diagnosis. Scientific Data. p. 13.
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Abstract
We present the coronary artery disease (CAD) database, a comprehensive resource, comprising 126 papers and 68 datasets relevant to CAD diagnosis, extracted from the scientific literature from 1992 and 2018. These data were collected to help advance research on CAD-related machine learning and data mining algorithms, and hopefully to ultimately advance clinical diagnosis and early treatment. To aid users, we have also built a web application that presents the database through various reports.
| Item Type: | Article |
|---|---|
| Keywords: | support vector machine health record data performance analysis logistic-regression neural-networks breast-cancer classification prediction algorithms svm Science & Technology - Other Topics |
| Subjects: | Cardiovascular System > WG 120-180 Cardiovascular Diseases, Diagnosis, and Therapeutics |
| Divisions: | Cardiovascular Research Institute > Isfahan Cardiovascular Research Center |
| Page Range: | p. 13 |
| Journal or Publication Title: | Scientific Data |
| Journal Index: | ISI |
| Volume: | 6 |
| Identification Number: | https://doi.org/10.1038/s41597-019-0206-3 |
| Depositing User: | Zahra Otroj |
| URI: | http://eprints.mui.ac.ir/id/eprint/10886 |
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