no code implementations • 3 Apr 2024 • Shuxian Fan, Adam Visokay, Kentaro Hoffman, Stephen Salerno, Li Liu, Jeffrey T. Leek, Tyler H. McCormick
In this paper, we develop a method for valid inference using outcomes (in our case COD) predicted from free-form text using state-of-the-art NLP techniques.
no code implementations • 14 Jan 2024 • Kentaro Hoffman, Stephen Salerno, Awan Afiaz, Jeffrey T. Leek, Tyler H. McCormick
As artificial intelligence and machine learning tools become more accessible, and scientists face new obstacles to data collection (e. g. rising costs, declining survey response rates), researchers increasingly use predictions from pre-trained algorithms as outcome variables.
no code implementations • 9 Mar 2022 • Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover
Having a maximum EA burden greater than 75% when untreated had a 22% increased chance of a poor outcome (severe disability or death), and mild but long-lasting EA increased the risk of a poor outcome by 14%.
no code implementations • 1 Mar 2021 • Kentaro Hoffman, Jonathan M. Lees, Kai Zhang
Using this technique, we demonstrate improved signal cleaning performance for acoustic shockwave signal detection.