Using Bandit Algorithms to Maximize SARS-CoV-2 Case-Finding: Evaluation and Feasibility Study

• প্রধান লেখক: Michael F Rayo (লেখক), Daria Faulkner (লেখক), David Kline (লেখক), Thomas Thornhill IV (লেখক), Samuel Malloy (লেখক), Dante Della Vella (লেখক), Dane A Morey (লেখক), Net Zhang (লেখক), Gregg Gonsalves (লেখক)
• বিন্যাস: গ্রন্থ
• প্রকাশিত: JMIR Publications, 2023-08-01T00:00:00Z.
• বিষয়গুলি: article
• অনলাইন ব্যবহার করুন: Connect to this object online.

BackgroundThe Flexible Adaptive Algorithmic Surveillance Testing (FAAST) program represents an innovative approach for improving the detection of new cases of infectious disease; it is deployed here to screen and diagnose SARS-CoV-2. With the advent of treatment for COVID-19, finding individuals inf...