multistate models

Wednesday, November 7, 2018 - 2:30pm - 3:00pm
Tracy Bergemann (Medtronic)
Implantable cardiac devices collect physiologic parameters and heart rhythm metrics continuously on heart failure patients. Remote monitoring services can combine this information with daily blood pressure, weights and symptoms into a risk prediction algorithm and tailor patient treatment. To determine the clinical benefits of using such a risk prediction algorithm to guide heart failure treatment, appropriate models to assess the potential to offset the negative spiral of recurrent morbidity events and ultimately death are needed.
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