Real-time Online Probabilistic Medical Computation using Bayesian Networks
2020
Advances in both computing power and novel Bayesian inference algorithms have enabled Bayesian Networks (BN) to be applied for decision-support in healthcare and other domains. This work presents CardiPro, a flexible, online application for interfacing with non-trivial causal BN models. Designed specifically to make BN use easy for less-technical users like patients and clinicians, CardiPro provides near real-time probabilistic computation. CardiPro was developed as part of the PamBayesian research project (www.pambayesian.org) and represents the first of a new generation of online BN-based applications that may benefit adoption of AI-based clinical decision-support.
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