Fusion Modeling: Combining Clinical and Imaging Data to Advance Cardiac Care
Marly van Assen,
Amara Tariq,
Alexander C. Razavi
et al.
Abstract:In addition to the traditional clinical risk factors, an increasing amount of imaging biomarkers have shown value for cardiovascular risk prediction. Clinical and imaging data are captured from a variety of data sources during multiple patient encounters and are often analyzed independently. Initial studies showed that fusion of both clinical and imaging features results in superior prognostic performance compared with traditional scores. There are different approaches to fusion modeling, combining multiple da… Show more
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