1 code implementation • ACL 2021 • James Mullenbach, Yada Pruksachatkun, Sean Adler, Jennifer Seale, Jordan Swartz, T. Greg McKelvey, Hui Dai, Yi Yang, David Sontag
In this work, we describe our creation of a dataset of clinical action items annotated over MIMIC-III, the largest publicly available dataset of real clinical notes.
1 code implementation • 27 Apr 2020 • James Mullenbach, Jordan Swartz, T. Greg McKelvey, Hui Dai, David Sontag
Both electronic health records and personal health records are typically organized by data type, with medical problems, medications, procedures, and laboratory results chronologically sorted in separate areas of the chart.
no code implementations • IJCNLP 2019 • James Mullenbach, Jonathan Gordon, Nanyun Peng, Jonathan May
This provides evidence that the amount of commonsense knowledge encoded in these language models does not extend far beyond that already baked into the word embeddings.
3 code implementations • NAACL 2018 • James Mullenbach, Sarah Wiegreffe, Jon Duke, Jimeng Sun, Jacob Eisenstein
Our method aggregates information across the document using a convolutional neural network, and uses an attention mechanism to select the most relevant segments for each of the thousands of possible codes.
Ranked #11 on
Medical Code Prediction
on MIMIC-III