no code implementations • 20 Nov 2023 • Gundeep Arora, Srujana Merugu, Anoop Saladi, Rajeev Rastogi
Binary classification involves predicting the label of an instance based on whether the model score for the positive class exceeds a threshold chosen based on the application requirements (e. g., maximizing recall for a precision bound).
1 code implementation • 9 Jun 2020 • Ralf Herbrich, Rajeev Rastogi, Roland Vollgraf
We present CRISP (COVID-19 Risk Score Prediction), a probabilistic graphical model for COVID-19 infection spread through a population based on the SEIR model where we assume access to (1) mutual contacts between pairs of individuals across time across various channels (e. g., Bluetooth contact traces), as well as (2) test outcomes at given times for infection, exposure and immunity tests.