A combination of 'pooling' with a prediction model can reduce by 73 number of COVID-19 (Corona-virus) tests

05/03/2020
by   Tomer Cohen, et al.
0

We show that combining a prediction model (based on neural networks), with a new method of test pooling (better than the original Dorfman method, and better than double-pooling) called 'Grid', we can reduce the number of Covid-19 tests by 73

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset