Patent ID: 11749404

Abstract:
An improved decision support tool is provided for detecting and treating human patients at risk for having (or developing) venous thromboembolism VTE. The tool determines a quantitative probability of VTE by utilizing a smart sensor based on a particular machine-learning model for detecting specific biomarkers determined to be related to VTE. In particular, a quantitative probability of VTE may be determined via a model based on interrelationships between multiple components of the human body's complement cascade and their coupling to coagulation processes. In one aspect, a quasi-Dirichlet distribution “mixture” relationship between total hemolytic complement (CH50) activity and complement protein C3 levels is employed as part of a smart sensor and decision support tool to provide predictive, diagnostic, and prognostic applications and for guiding prevention and treatment of acute VTE. Where the smart sensor determines a risk for VTE, then the decision support tool may initiate an intervening action.