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.

Summary

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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