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Blood pressure is vital evidence for clinicians to predict diseases and check the curative effect of diagnosis and treatment. To further improve the prediction accuracy of blood pressure, this paper proposes a combined prediction model of blood pressure based on coritivity theory and photoplethysmography. First of all, we extract eight features of photoplethysmogram, followed by using eight machine learning prediction algorithms such as K-nearest neighbor, classification and regression trees and random forest to predict systolic blood p
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