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The Reference Model for Disease Progression

Jacob Barhak


The Reference Model for disease progression is based on a modeling framework written in Python. It is a prototype that demonstrates the use of computing power to aid in chronic disease forecast. The model uses references to publicly available data as a source of information, hence the name for the model. The Reference Model also holds this name since it is designed to be used by other models as a reference. The model uses parallel processing and computing power to create a competition among hypothesis of disease progression. The system runs on a multi core machine and is scalable to a SLURM cluster.


Disease Models, High Performance Computing, Simulation

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