Journal Papers
N. A. Sathe, S. Xian, F. L. Mabrey, D. R. Crosslin, S. D. Mooney, E. D. Morrell, K. Lybarger, M. Yetisgen, G. P. Jarvik, P. K. Bhatraju, et al. Evaluating construct validity of computable acute respiratory distress syndrome de nitions in adults hospitalized with COVID-19: an electronic health records based approach. BMC Pulmonary Medicine, 23(1), 2023. doi:10.1186/s12890-023-02560-y.
M. G. Prado, L. G. Kessler, M. A. Au, H. A. Burkhardt, M. Z. Suchsland, et al. Symptoms and signs of lung cancer prior to diagnosis: case-control study using electronic health records from ambulatory care within a large US-based tertiary care centre. BMJ Open, 13(4), 2023. doi: 10.1136/bmjopen-2022-068832.
K. Lybarger†, N. J. Dobbins†, R. Long, A. Singh, P. Wedgeworth, Ö. Uzuner, and M. Yetisgen. Leveraging natural language processing to augment structured social determinants of health data in the electronic health record. Journal American Medical Informatics Association, 2023. doi: 10.1093/jamia/ocad073. [free-access link] (†authors contributed equally).
A. L. Hartzler, S. J. Xie, P. Wedgeworth, C. Spice, K. Lybarger, et al. Integrating patient voices into the automatic extraction of social determinants of health from clinical records: Ethical considerations and recommendations. Journal American Medical Informatics Association, 2023. doi: 10.1093/jamia/ocad043. [free-access link]
G. K. Ramachandran, K. Lybarger, Y. Liu, D. Mahajan, J. J. Liang, et al. Extracting medication changes in clinical narratives using pre-trained language models. Journal Biomedical Informatics, page 104302, 2023. doi: 10.1016/j.jbi.2023.104302.
K. Lybarger, M. Yetisgen, and Ö. Uzuner. The 2022 n2c2/UW shared task on extracting social determinants of health. Journal American Medical Informatics Association, 2023. doi: 10.1093/jamia/ocad012. [free-access link]
M. Zigman Suchsland, L. Kowalski, H. A. Burkhardt, M. G. Prado, L. G. Kessler, et al. How timely is diagnosis of lung cancer? Cohort study of individuals with lung cancer presenting in ambulatory care in the United States. Cancers, 14(23), 2022. doi: 10.3390/cancers14235756.
W. Lau, K. Lybarger, M. Gunn, and M. Yetisgen. Event-based clinical findings extraction from radiology reports with pre-trained language model. Journal Digital Imaging, 2022. doi: 10.1007/s10278-022-00717-5.
J. S. Tauscher, K. Lybarger, X. Ding, A. Chander, W. J. Hudenko, et al. Automated detection of cognitive distortions in text exchanges between clinicians and people with serious mental illness. Psychiatric Services, 2022. doi: 10.1176/appi.ps.202100692.
K. Lybarger, M. Ostendorf, M. Thompson, and M. Yetisgen. Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework. Journal Biomedical Informatics, 2021. doi: 10.1016/j.jbi.2021.103761.
K. Lybarger, M. Ostendorf, and M. Yetisgen. Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction. Journal Biomedical Informatics, 113:103631, 2021. doi: 10.1016/j.jbi.2020.103631. (slides)
T. Payne, W. Alonso, J. Markiel, K. Lybarger, R. Lordon, et al. Using voice to create inpatient progress notes: effects on note timeliness, quality, and physician satisfaction. Journal American Medical Informatics Association Open, 1(2):218-226, 2018. doi: 10.1093/jamiaopen/ooy036.
K. Lybarger, M. Ostendorf, E. Riskin, T. Payne, A. White, et al. Asynchronous speech recognition affects physician editing of notes. Applied Clinical Informatics, 9(4):782-790, 2018. doi: 10.1055/s-0038-1673417.
T. Payne, W. Alonso, A. Markiel, K. Lybarger, and A. White. Using voice to create hospital progress notes: description of a mobile application and supporting system integrated with a commercial electronic health record. Journal Biomedical Informatics, 77:91-96, 2017. doi: 10.1016/j.jbi.2017.12.004.
Conference Papers
B. Han, H. Zhu, S. Zhou, S. Ahmed, M. M. Rahman, F. Xia, and K. Lybarger. HuskyScribe at MEDIQA-Sum 2023: Summarizing clinical dialogues with transformers. In Conference and Labs of the Evaluation Forum, 2023. URL: https://ceur-ws.org/Vol-3497/paper-124.pdf.
G. K. Ramachandran, Y. Fu, B. Han, K. Lybarger, N. J. Dobbins, Ö. Uzuner, and M. Yetisgen. Prompt-based extraction of social determinants of health using few-shot learning. In ACL Clinical Natural Language Processing Workshop, 2023a. URL: https://aclanthology.org/2023.clinicalnlp-1.41.
S. Zhou, K. Lybarger, M. Yetisgen, and M. Ostendorf. Generalizing through forgetting - domain generalization for symptom event extraction in clinical notes. In AMIA Informatics Summit, 2023. PMID: 37350923.
K. Lybarger, J. S. Tauscher, X. Ding, D. Ben-Zeev, and T. Cohen. Identifying Distorted Thinking in Patient-Therapist Text Message Exchanges by Leveraging Dynamic Multi-Turn Context. In Proceedings on Computational Linguistics and Clinical Psychology, 2022. doi: 10.18653/v1/2022.clpsych-1.11.
X. Ding, K. Lybarger, J. S. Tauscher, T. Cohen. Improving Classification of Infrequent Cognitive Distortions: Model Augmentation vs. Data Augmentation. In NAACL Student Research Workshop, 2022. doi: 10.18653/v1/2022.naacl-srw.9.
K. Lybarger, A. Damani, M. Gunn, Ö. Uzuner, and M. Yetisgen. Extracting radiological findings with normalized anatomical information using a span-based BERT relation extraction model. In AMIA Informatics Summit, 2022. PMID: 35854739. [student paper competition finalist]
K. Lybarger, L. Mabrey, M. Thau, P. K. Bhatraju, M. Wurfel, and M. Yetisgen. Identifying ARDS using the hierarchical attention network with sentence objectives framework. In AMIA Annual Symposium Proceedings, 2021. PMID: 35308902. (slides)
K. Lybarger, M. Yetisgen, and M. Ostendorf. Using neural multi-task learning to extract substance abuse information from clinical notes. In AMIA Annual Symposium Proceedings, pages 1395-1404, 2018. PMID: 30815184.
K. Lybarger, M. Ostendorf, and M. Yetisgen. Automatically detecting likely edits in clinical notes created using automatic speech recognition. In AMIA Annual Symposium Proceedings, pages 1186-1195, 2017. PMID: 29854187.
B. Aazhang, R. Abler, J. Allebach, L. Bost, J. Cavallaro, et al. Vertically Integrated Projects (VIP) programs: multidisciplinary projects with homes in any discipline. In ASEE Annual Conference and Exposition, 2017. Available at: https://www.asee.org/public/conferences/78/papers/19405/view.
D. Malcolm, K. Lybarger, and G. Randall. Advances in wind turbine site assessment. In AIAA Aerospace Sciences Meeting, pages 456, 2011, doi: 10.2514/6.2011-456.
Non-refereed Papers
K. Lybarger, O. J. Bear Don't Walk IV, M. Yetisgen, and Ö. Uzuner. Advancements in extracting social determinants of health information from narrative text. Journal American Medical Informatics Association, 2023. doi: 10.1093/jamia/ocad121 [free-access link] (editorial).
Abstracts and Posters
K. Lybarger, N. Park, S. Zhou, A. Damani, A. White, J. K. Gill, et al. A corpus of radiology reports from multiple imaging modalities with fine-grained event-based annotations. In
AMIA Annual Symposium Proceedings, 2022. (abstract & slides)
K. Lybarger, E. Qiao, and M. Yetisgen. An exploration of information extraction models on transcribed patient visits. In AMIA Annual Symposium Proceedings, 2021. (abstract & poster)
G. Turner, K. Lybarger, A. Brennan, E. Chang, N. Dorvall, et al. Domain Adaptation of a Deep Learning Symptom Extractor for Different Patient Populations and Clinical Settings. In AMIA Annual Symposium Proceedings, 2021. (abstract)
A. Chakraborty, K. Lybarger, D. Long, V. N. O'Reilly-Shah, and M. Yetisgen. Automatic detection of surgical site infections using EHR data. In AMIA Annual Symposium Proceedings, 2021. (abstract)
K. Lybarger, E. Chang, K. Kerker, J. Shen, E. Qiao, et al. A novel corpus with detailed annotations of social determinants of health. In AMIA Annual Symposium Proceedings, 2020. (abstract & poster)
K. Lybarger, N. Dobbins, M. Ostendorf, M. Thompson, and M. Yetisgen. Extracting COVID-19 diagnoses and symptoms from clinical text. In AMIA NLP Working Group, 2020. (abstract)
K. Lybarger, M. Ostendorf, O. Uzuner, and M. Yetisgen. Automatic identification of social determinants of health from clinical records. In AMIA Annual Symposium Proceedings, 2019. (abstract)
K. Lybarger. Extracting social behavioral factors from free-text clinical notes. In AMIA NLP Working Group Pre-symposium, 2018. (abstract)
T. Payne, A. Markiel, W. Alonso, R. Lordon, K. Lybarger, et al. Improving electronic inpatient progress notes using voice: results from the VGEENS project. In AMIA Annual Symposium Proceedings, 2017. (abstract)
G. Randall, D. Malcolm, K. Lybarger, and M. Malkin. Quantifying uncertainty in turbine suitability assessments. In American Wind Energy Association WINDPOWER, 2010.
D. Malcolm and K. Lybarger. Site suitability using generic wind turbine models. In American Wind Energy Association WINDPOWER, 2010.
Under Review
G. K. Ramachandran, H. Gangavarapu, K. Lybarger, and O. Uzuner. MasonNLP+ at SemEval-2023 task 8: Extracting medical questions, experiences and claims from social media using knowledge-augmented pre-trained language models. In International Workshop on Semantic Evaluation, ACL, 2023. doi: 10.48550/arXiv.2304.13875. [accepted].