License:
ID: 8
Sources:
Number of instances: 1190
Number of features: 12
Number of annotated features: 11
Annotated features percentage: 92%
Please cite:
- R. Alizadehsani, M. Roshanzamir, M. Abdar, A. Beykikhoshk, A. Khosravi, M. Panahiazar, A. Koohestani, F. Khozeimeh, S. Nahavandi, and N. Sarrafzadegan. A database for using machine learning and data mining techniques for coronary artery disease diagnosis. Scientific data, 6(1): 227, 2019.