What use cases could be tested? BTW the metadata is in EXCEL
I was always led to believe that ML/ANN only works when there is enough training data? So, how does it work for Covid-19?
yes apologies Dan, I wasn't exactly specific
Referring to the dataset trackstar shared, it consists of many documents; I'm happy to provide a cloud service/ API for processing ~ 40k documents per day in order to create text from PDFs / keyword extraction for bag of words or similar NLP tasks.
If we're more interested in the ODEs, then I have some optimized fortran that might be of use. I didn't look closely, but the system you shared is similar to the kernel of a batch reactor / CFD code I work with on a daily basis. It's richardson/ rosenbrock, but maybe this isn't a stiff system, I only glanced at a couple of parameters that looked very different in magnitude.
I think it might be interesting to work into the model the effect of bad actors / poor / missing information. I find the timing with the recent oil war curious, one of the countries involved seems awfully quiet about the little predicament that has the rest of the developed/ing world shtting the bed. I digress.
I guess I buy the scaling arguments about ventilators / hospitals. Tony stark has offered to ramp up production, and afaik the US created the national guard for times such as these. Maybe the models should take into account hardware scaling efforts, which as we all know is much more difficult than software.