Heart failure event prediction using classifier fusion
An event and predictor technology, applied in instruments, applications, cardiac catheterization, etc., can solve problems such as reducing the efficiency of cardiac pumping, improve prognosis and patient outcomes, reduce health care costs, and ensure timely treatment.
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[0038] Disclosed herein are systems, devices, and methods for detecting events indicative of exacerbation of HF, such as events of HF decompensation, or for identifying patients at high risk of developing future events associated with exacerbation of HF. HF event detection or HF risk stratification may be performed using, for example, physiological signals sensed from one or more physiological sensors associated with a dynamic medical device (eg, an implanted cardiac device, etc.). The physiological signal is selectively available to two or more partial predictors, wherein each of the two or more partial predictors is configured to calculate a partial risk index indicative of a patient The likelihood of developing a prognostic physiological event indicative of or associated with exacerbation of HF. Classifier fusion can then be used to combine the partial risk indices and generate a detection call for HF exacerbation, or to predict the risk of future HF events, thereby enablin...
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