2 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.IV2023★ 2 cited
A 3D deep learning classifier and its explainability when assessing coronary artery disease
Wing Keung Cheung, Jeremy Kalindjian, Robert Bell +11
Early detection and diagnosis of coronary artery disease (CAD) could save lives and reduce healthcare costs. The current clinical practice is to perform CAD diagnosis through analy…
cs.LG2017★ 1 cited
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data
Henrietta Forssen, Riyaz S. Patel, Natalie Fitzpatrick +4
Metabolomic data can potentially enable accurate, non-invasive and low-cost prediction of coronary artery disease. Regression-based analytical approaches however might fail to full…