Related Experiment Video
Updated: Mar 15, 2026

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Using Frequent Item Set Mining and Feature Selection Methods to Identify Interacted Risk Factors - The Atrial
Xiang Li1, Haifeng Liu1, Xin Du2
1IBM Research - China, Beijing, China.
This study introduces an automated method to identify interacting risk factors for diseases like atrial fibrillation. The approach improves disease prediction by uncovering complex relationships between patient conditions and treatments.
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2026-06-19T13:37:34.222055+00:00
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