Disease Informed Neural Networks

Neural networks capable of learning how diseases spread, forecasting their progression, and finding their unique parameters (e.g. death rate).

In this tutorial I present Disease Informed Neural Networks (DINNs). In the paper we used DINNs to identify the dynamics of 11 highly infectious and deadly diseases. These systems vary in their complexity and their number of parameters. The diseases include COVID, Anthrax, HIV, Zika, Smallpox, Tuberculosis, Pneumonia, Ebola, Dengue, Polio, and Measles. The entire code & experiments can be found …

data science disease epidemiology machine learning networks neural networks programming