R. Verma

EXPLORING THE APPLICATION OF MACHINE LEARNING STRATEGIES AND TOOLS IN THE DIAGNOSIS AND PROGNOSIS OF BREAST CANCER

R. Verma, 2018 .

Pathological and epidemiological factors associated with advanced stage at diagnosis of breast cancer.

J. Jones, R. Bowen, F. Mihaimeed, 2012, British medical bulletin.

Predicting outcomes following open revascularization for aortoiliac occlusive disease using machine learning.

Douglas S. Lee, D. Wijeysundera, H. Tamim, 2023, Journal of vascular surgery.

Using machine learning to predict outcomes following open abdominal aortic aneurysm repair.

Douglas S. Lee, D. Wijeysundera, O. Rotstein, 2023, Journal of vascular surgery.

Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD

D. Wijeysundera, N. Eisenberg, G. Roche-Nagle, 2024, JAMA network open.

Using Machine Learning (XGBoost) to Predict Outcomes After Infrainguinal Bypass for Peripheral Artery Disease

D. Wijeysundera, N. Eisenberg, G. Roche-Nagle, 2023, Annals of surgery.

Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning

Douglas S. Lee, H. Tamim, Ben Li, 2023, Journal of the American Heart Association.