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Data Analysis Helps Tailor Your Heart Disease Treatment

Heart Disease Research

Contributor: Joseph F. Sabik III, MD

Coronary artery disease (CAD) is a complex disease with many possible treatment options. Because of this complexity, we increasingly find risk modeling useful in tailoring treatment plans for each patient.

In risk modeling, we collect a large pool of data from different types of completed procedures. Then we analyze the success of each.

After that, we use specialized computers to run the data through several analytical programs. This analysis takes many factors into account, such as the patient’s age, gender and medical history.

The data analysis gives us a summary and overarching view of treatment options, including which might best suit a particular patient group.

Learn more about risk modeling research.