@inproceedings{baumgartner-schilling-2026-cuamc,
title = "{CUAMC} @ {M}ed{E}x{ACT} 2026: Robust Ensemble Voting for Fair Medical Decision Extraction",
author = "Baumgartner, William and
Schilling, Lisa",
editor = "Gupta, Deepak and
Demner-Fushman, Dina",
booktitle = "Proceedings of the {B}io{NLP} 2026 (Shared Tasks)",
month = jul,
year = "2026",
address = "San Diego, California, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.bionlp-2.24/",
pages = "171--178",
ISBN = "979-8-89176-435-4",
abstract = "Automated extraction of medical decisions from clinical notes is a critical step to constructing more granular patient health trajectories than what is currently obtainable from structured healthcare data. Here we present a system designed for the MedExACT shared task that employs an ensemble of BERT-based classifiers to account for demographic diversity when extracting mentions of medical decisions from MIMIC-III discharge summaries. A simple voting strategy combined with architectural diversity is demonstrated to work best when training data is limited."
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%0 Conference Proceedings
%T CUAMC @ MedExACT 2026: Robust Ensemble Voting for Fair Medical Decision Extraction
%A Baumgartner, William
%A Schilling, Lisa
%Y Gupta, Deepak
%Y Demner-Fushman, Dina
%S Proceedings of the BioNLP 2026 (Shared Tasks)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-435-4
%F baumgartner-schilling-2026-cuamc
%X Automated extraction of medical decisions from clinical notes is a critical step to constructing more granular patient health trajectories than what is currently obtainable from structured healthcare data. Here we present a system designed for the MedExACT shared task that employs an ensemble of BERT-based classifiers to account for demographic diversity when extracting mentions of medical decisions from MIMIC-III discharge summaries. A simple voting strategy combined with architectural diversity is demonstrated to work best when training data is limited.
%U https://aclanthology.org/2026.bionlp-2.24/
%P 171-178
Markdown (Informal)
[CUAMC @ MedExACT 2026: Robust Ensemble Voting for Fair Medical Decision Extraction](https://aclanthology.org/2026.bionlp-2.24/) (Baumgartner & Schilling, BioNLP 2026)
ACL