Papers by Özlem Uzuner
A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models (2024.lrec-main)
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Namu Park, Kevin Lybarger, Giridhar Kaushik Ramachandran, Spencer Lewis, Aashka Damani, Özlem Uzuner, Martin Gunn, Meliha Yetisgen
| Challenge: | Medical imaging reports document radiologists' interpretation of medical images through detailed narrative text. |
| Approach: | They propose a corpus of annotated medical imaging reports (CAMIR) that includes 609 annotation radiology reports from three imaging modality types. |
| Outcome: | The proposed schema captures clinical indications, lesions, and medical problems and can be used in secondary applications. |
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods (2024.lrec-main)
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Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J. Dobbins, Namu Park, Michael Leu, Abby R. Rosenberg, Kevin Lybarger, Fei Xia, Özlem Uzuner, Meliha Yetisgen
| Challenge: | Social determinants of health (SDoH) are often studied in the electronic health record (EHR) however, there are difficulties in documenting SDoH in a tabular format due to the lack of a comprehensive SDoh tool. |
| Approach: | They propose to annotate social history sections from 1,260 clinical notes from pediatric patients within the University of Washington (UW) hospital system. |
| Outcome: | The proposed corpus captures ten distinct health determinants including living and economic stability, prior trauma, education access, substance use history, and mental health with an overall annotator agreement of 81.9 F1. |