369. Using Hybrid Models and Blockchain Technology as a Means to Develop a Novel Propensity Score for Candidemia and Invasive Candidiasis

摘要

BackgroundEarly initiation of empiric antifungal therapy has been shown to decrease morbidity and mortality among patients with candidemia/invasive candidiasis (C/IC). However, the initiation of appropriate antifungal therapy is frequently delayed due to the severe limitations in early diagnosis. The goal of this study is to develop a high-risk scoring system to identify patients who may be eligible for preemptive antifungal therapy. The proposed new methodology combines hybrid modeling and blockchain technology.