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Kevin Lybarger
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Journal Articles
- 2023
- [j10]Kevin Lybarger, Oliver J. Bear Don't Walk IV, Meliha Yetisgen, Özlem Uzuner
:
Advancements in extracting social determinants of health information from narrative text. J. Am. Medical Informatics Assoc. 30(8): 1363-1366 (2023) - [j9]Kevin Lybarger
, Meliha Yetisgen, Özlem Uzuner
:
The 2022 n2c2/UW shared task on extracting social determinants of health. J. Am. Medical Informatics Assoc. 30(8): 1367-1378 (2023) - [j8]Kevin Lybarger
, Nicholas J. Dobbins
, Ritche Long, Angad P. Singh
, Patrick Wedgeworth, Özlem Uzuner
, Meliha Yetisgen:
Leveraging natural language processing to augment structured social determinants of health data in the electronic health record. J. Am. Medical Informatics Assoc. 30(8): 1389-1397 (2023) - [j7]Andrea L. Hartzler
, Serena Jinchen Xie, Patrick Wedgeworth, Carolin Spice, Kevin Lybarger
, Brian R Wood, Herbert Duber, Gary Hsieh, Angad P. Singh
, Kase Cragg, Shoma Goomansingh, Searetha Simons, J. J. Wong, Angeilea' Yancey-Watson:
Integrating patient voices into the extraction of social determinants of health from clinical notes: ethical considerations and recommendations. J. Am. Medical Informatics Assoc. 30(8): 1456-1462 (2023) - [j6]Giridhar Kaushik Ramachandran
, Kevin Lybarger
, Yaya Liu
, Diwakar Mahajan, Jennifer J. Liang
, Ching-Huei Tsou, Meliha Yetisgen
, Özlem Uzuner
:
Extracting medication changes in clinical narratives using pre-trained language models. J. Biomed. Informatics 139: 104302 (2023) - [j5]Wilson Lau
, Kevin Lybarger
, Martin L. Gunn
, Meliha Yetisgen:
Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model. J. Digit. Imaging 36(1): 91-104 (2023) - 2021
- [j4]Kevin Lybarger
, Mari Ostendorf, Meliha Yetisgen:
Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction. J. Biomed. Informatics 113: 103631 (2021) - [j3]Kevin Lybarger
, Mari Ostendorf, Matthew Thompson, Meliha Yetisgen:
Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework. J. Biomed. Informatics 117: 103761 (2021) - 2018
- [j2]Kevin Lybarger
, Mari Ostendorf, Eve A. Riskin, Thomas H. Payne, Andrew A. White
, Meliha Yetisgen:
Asynchronous Speech Recognition Affects Physician Editing of Notes. Appl. Clin. Inform. 09(04): 782-790 (2018) - [j1]Thomas H. Payne, W. David Alonso, Andrew Markiel, Kevin Lybarger
, Andrew A. White
:
Using voice to create hospital progress notes: Description of a mobile application and supporting system integrated with a commercial electronic health record. J. Biomed. Informatics 77: 91-96 (2018)
Conference and Workshop Papers
- 2024
- [c15]Namu Park, Kevin Lybarger, Giridhar Kaushik Ramachandran, Spencer Lewis, Aashka Damani, Özlem Uzuner, Martin L. Gunn, Meliha Yetisgen:
A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models. LREC/COLING 2024: 1280-1292 - [c14]Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J. Dobbins, Namu Park, Michael Leu, Abby R. Rosenberg, Kevin Lybarger, Fei Xia, Özlem Uzuner, Meliha Yetisgen:
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods. LREC/COLING 2024: 7045-7056 - 2023
- [c13]Giridhar Kaushik Ramachandran
, Yujuan Fu, Bin Han, Kevin Lybarger
, Nicholas J. Dobbins, Özlem Uzuner, Meliha Yetisgen:
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. ClinicalNLP@ACL 2023: 385-393 - [c12]Bin Han, Haotian Zhu, Sitong Zhou, Sofia Ahmed, Md. Mushfiqur Rahman, Fei Xia, Kevin Lybarger:
HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers. CLEF (Working Notes) 2023: 1488-1509 - [c11]Giridhar Kaushik Ramachandran, Haritha Gangavarapu, Kevin Lybarger, Özlem Uzuner:
MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models. SemEval@ACL 2023: 2143-2152 - 2022
- [c10]Kevin Lybarger, Namu Park, Sitong Zhou, Aashka Damani, Alison Brennan, Jagjeet Gill, Nianiella Dorvall, Vy Huynh, Spencer Lewis, Martin L. Gunn, Özlem Uzuner, Meliha Yetisgen:
A Corpus of Radiology Reports From Multiple Imaging Modalities With Fine-grained Event-based Annotations. AMIA 2022 - [c9]Xiruo Ding, Kevin Lybarger
, Justin Tauscher
, Trevor Cohen:
Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation. NAACL-HLT (Student Research Workshop) 2022: 68-75 - 2021
- [c8]Arjun Chakraborty, Kevin Lybarger, Dustin Long, Vikas O. Shah, Meliha Yetisgen:
Automatic Detection of Surgical Site Infections Using EHR Data. AMIA 2021 - [c7]Kevin Lybarger, Linzee Mabrey, Matthew R. Thau, Pavan K. Bhatraju, Mark M. Wurfel, Meliha Yetisgen:
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework. AMIA 2021 - [c6]Kevin Lybarger, Erica Qiao, Meliha Yetisgen:
An exploration of information extraction models on transcribed patient visits. AMIA 2021 - 2020
- [c5]Kevin Lybarger, Elizabeth Chang, Kylie Kerker, Jolie Shen, Erica Qiao, Özlem Uzuner, Mari Ostendorf, Meliha Yetisgen:
A Novel Corpus With Detailed Annotations of Social Determinants of Health. AMIA 2020 - 2019
- [c4]Kevin Lybarger, Mari Ostendorf, Özlem Uzuner, Meliha Yetisgen:
Automatic Identification of Social Determinants of Health from Clinical Records. AMIA 2019 - 2018
- [c3]Kevin Lybarger, Meliha Yetisgen, Mari Ostendorf:
Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes. AMIA 2018 - 2017
- [c2]Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen:
Automatically Detecting Likely Edits in Clinical Notes Created Using Automatic Speech Recognition. AMIA 2017 - [c1]Thomas H. Payne, Andrew Markiel, William D. Alonso, Ross J. Lordon, Kevin Lybarger, Meliha Yetisgen, Jennifer M. Zech, Andrew A. White:
Improving Electronic Inpatient Progress Notes Using Voice: Results from the VGEENS Project. AMIA 2017
Informal and Other Publications
- 2024
- [i15]Md. Mushfiqur Rahman, Mohammad Sabik Irbaz, Kai North, Michelle S. Williams, Marcos Zampieri, Kevin Lybarger:
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement Learning. CoRR abs/2401.15043 (2024) - [i14]Namu Park, Kevin Lybarger, Giridhar Kaushik Ramachandran, Spencer Lewis, Aashka Damani, Özlem Uzuner, Martin L. Gunn, Meliha Yetisgen:
A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models. CoRR abs/2403.18975 (2024) - [i13]Yujuan Fu, Giridhar Kaushik Ramachandran, Nicholas J. Dobbins, Namu Park, Michael Leu, Abby R. Rosenberg, Kevin Lybarger, Fei Xia, Özlem Uzuner, Meliha Yetisgen:
Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods. CoRR abs/2404.00826 (2024) - [i12]Alphaeus Dmonte
, Marcos Zampieri, Kevin Lybarger, Massimiliano Albanese, Genya Coulter:
Classifying Human-Generated and AI-Generated Election Claims in Social Media. CoRR abs/2404.16116 (2024) - 2023
- [i11]Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner:
The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health. CoRR abs/2301.05571 (2023) - [i10]Giridhar Kaushik Ramachandran, Haritha Gangavarapu, Kevin Lybarger, Özlem Uzuner:
MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models. CoRR abs/2304.13875 (2023) - [i9]Giridhar Kaushik Ramachandran, Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J. Dobbins, Özlem Uzuner, Meliha Yetisgen:
Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. CoRR abs/2306.07170 (2023) - 2022
- [i8]Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang
, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner:
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models. CoRR abs/2208.08417 (2022) - [i7]Sitong Zhou, Kevin Lybarger, Meliha Yetisgen, Mari Ostendorf:
Generalizing through Forgetting - Domain Generalization for Symptom Event Extraction in Clinical Notes. CoRR abs/2209.09485 (2022) - [i6]Kevin Lybarger, Nicholas J. Dobbins
, Ritche Long, Angad P. Singh, Patrick Wedgeworth, Özlem Ozuner, Meliha Yetisgen:
Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record. CoRR abs/2212.07538 (2022) - 2021
- [i5]Kevin Lybarger, Linzee Mabrey, Matthew Thau, Pavan K. Bhatraju, Mark M. Wurfel, Meliha Yetisgen:
Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework. CoRR abs/2103.06352 (2021) - [i4]Kevin Lybarger, Aashka Damani, Martin L. Gunn, Özlem Uzuner, Meliha Yetisgen:
Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model. CoRR abs/2108.09211 (2021) - [i3]Wilson Lau, Kevin Lybarger, Martin L. Gunn, Meliha Yetisgen:
Event-based clinical findings extraction from radiology reports with pre-trained language model. CoRR abs/2112.13512 (2021) - 2020
- [i2]Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen:
Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction. CoRR abs/2004.05438 (2020) - [i1]Kevin Lybarger, Mari Ostendorf, Matthew Thompson, Meliha Yetisgen:
Extracting COVID-19 Diagnoses and Symptoms From Clinical Text: A New Annotated Corpus and Neural Event Extraction Framework. CoRR abs/2012.00974 (2020)
Coauthor Index
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