Picture for Gadi Shenhar

Gadi Shenhar

A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 tests

Add code
May 12, 2020
Tomer Cohen, Lior Finkelman, Gal Grimberg, Gadi Shenhar, Ofer Strichman, Yonatan Strichman, Stav Yeger
Figure 1 for A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 tests
Figure 2 for A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 tests
Figure 3 for A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 tests
Figure 4 for A combination of 'pooling' with a prediction model can reduce by 73% the number of COVID-19 tests

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%.

Viaarxiv icon
Github IconAccess Paper or Ask Questions
Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon