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Data-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks. (arXiv:2110.05445v3 [cs.LG] UPDATED)
cs.LG updates on arXiv.org arxiv.org
In this work, we present an approach called Disease Informed Neural Networks
(DINNs) that can be employed to effectively predict the spread of infectious
diseases. This approach builds on a successful physics informed neural network
approaches that have been applied to a variety of applications that can be
modeled by linear and non-linear ordinary and partial differential equations.
Specifically, we build on the application of PINNs to SIR compartmental models
and expand it a scaffolded family of mathematical models describing …
arxiv data data-driven disease diseases infectious diseases lg networks neural networks