3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials?
Walter Nelson, Jonathan Ranisau, Jeremy Petch
Modern multi-centre randomized controlled trials (MCRCTs) collect massive amounts of tabular data, and are monitored intensively for irregularities by humans. We began by empirical…
cs.CL2023
Pyclipse, a library for deidentification of free-text clinical notes
Callandra Moore, Jonathan Ranisau, Walter Nelson +2
Automated deidentification of clinical text data is crucial due to the high cost of manual deidentification, which has been a barrier to sharing clinical text and the advancement o…
cs.LG2022★ 3 cited
Semi-Markov Offline Reinforcement Learning for Healthcare
Mehdi Fatemi, Mary Wu, Jeremy Petch +5
Reinforcement learning (RL) tasks are typically framed as Markov Decision Processes (MDPs), assuming that decisions are made at fixed time intervals. However, many applications of…