Automatically Detecting Likely Edits in Clinical Notes Created Using Automatic Speech Recognition. - Kevin Lybarger; Mari Ostendorf; Meliha Yetisgen (AMIA, 2017)

Improving Electronic Inpatient Progress Notes Using Voice: Results from the VGEENS Project. - Thomas H. Payne; Andrew Markiel; William D. Alonso; Ross J. Lordon; Kevin Lybarger; Meliha Yetisgen; Jennifer M. Zech; Andrew A. White (AMIA, 2017)

Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes. - Kevin Lybarger; Meliha Yetisgen; Mari Ostendorf (AMIA, 2018)

Asynchronous Speech Recognition Affects Physician Editing of Notes. - Kevin Lybarger; Mari Ostendorf; Eve A. Riskin; Thomas H. Payne; Andrew A. White; Meliha Yetisgen (Appl. Clin. Inform., 2018)

Using voice to create hospital progress notes: Description of a mobile application and supporting system integrated with a commercial electronic health record. - Thomas H. Payne; W. David Alonso; Andrew Markiel; Kevin Lybarger; Andrew A. White (J. Biomed. Informatics, 2018)

Automatic Identification of Social Determinants of Health from Clinical Records. - Kevin Lybarger; Mari Ostendorf; Özlem Uzuner; Meliha Yetisgen (AMIA, 2019)

A Novel Corpus With Detailed Annotations of Social Determinants of Health. - Kevin Lybarger; Elizabeth Chang; Kylie Kerker; Jolie Shen; Erica Qiao; Özlem Uzuner; Mari Ostendorf; Meliha Yetisgen (AMIA, 2020)

Automatic Detection of Surgical Site Infections Using EHR Data. - Arjun Chakraborty; Kevin Lybarger; Dustin Long; Vikas O. Shah; Meliha Yetisgen (AMIA, 2021)

Identifying ARDS using the Hierarchical Attention Network with Sentence Objectives Framework. - Kevin Lybarger; Linzee Mabrey; Matthew R. Thau; Pavan K. Bhatraju; Mark M. Wurfel; Meliha Yetisgen (AMIA, 2021)

An exploration of information extraction models on transcribed patient visits. - Kevin Lybarger; Erica Qiao; Meliha Yetisgen (AMIA, 2021)

Extracting Radiological Findings With Normalized Anatomical Information Using a Span-Based BERT Relation Extraction Model. - Kevin Lybarger; Aashka Damani; Martin L. Gunn; Özlem Uzuner; Meliha Yetisgen (CoRR, 2021)

Event-based clinical findings extraction from radiology reports with pre-trained language model. - Wilson Lau; Kevin Lybarger; Martin L. Gunn; Meliha Yetisgen (CoRR, 2021)

Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework. - Kevin Lybarger; Mari Ostendorf; Matthew Thompson; Meliha Yetisgen (J. Biomed. Informatics, 2021)

Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction. - Kevin Lybarger; Mari Ostendorf; Meliha Yetisgen (J. Biomed. Informatics, 2021)

A Corpus of Radiology Reports From Multiple Imaging Modalities With Fine-grained Event-based Annotations. - 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 (AMIA, 2022)

Improving Classification of Infrequent Cognitive Distortions: Domain-Specific Model vs. Data Augmentation. - Xiruo Ding; Kevin Lybarger; Justin Tauscher; Trevor Cohen (NAACL-HLT (Student Research Workshop), 2022)

Generalizing through Forgetting - Domain Generalization for Symptom Event Extraction in Clinical Notes. - Sitong Zhou; Kevin Lybarger; Meliha Yetisgen; Mari Ostendorf (CoRR, 2022)

Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record. - Kevin Lybarger; Nicholas J. Dobbins; Ritche Long; Angad P. Singh; Patrick Wedgeworth; Özlem Ozuner; Meliha Yetisgen (CoRR, 2022)

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning. - Giridhar Kaushik Ramachandran; Yujuan Fu; Bin Han; Kevin Lybarger; Nicholas J. Dobbins; Özlem Uzuner; Meliha Yetisgen (ClinicalNLP@ACL, 2023)

HuskyScribe at MEDIQA-Sum 2023: Summarizing Clinical Dialogues with Transformers. - Bin Han; Haotian Zhu; Sitong Zhou; Sofia Ahmed; Md. Mushfiqur Rahman; Fei Xia 004; Kevin Lybarger (CLEF (Working Notes), 2023)

MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models. - Giridhar Kaushik Ramachandran; Haritha Gangavarapu; Kevin Lybarger; Özlem Uzuner (SemEval@ACL, 2023)

Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model. - Wilson Lau; Kevin Lybarger; Martin L. Gunn; Meliha Yetisgen (J. Digit. Imaging, 2023)

Extracting medication changes in clinical narratives using pre-trained language models. - Giridhar Kaushik Ramachandran; Kevin Lybarger; Yaya Liu; Diwakar Mahajan; Jennifer J. Liang; Ching-Huei Tsou; Meliha Yetisgen; Özlem Uzuner (J. Biomed. Informatics, 2023)

Integrating patient voices into the extraction of social determinants of health from clinical notes: ethical considerations and recommendations. - 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; et al. (J. Am. Medical Informatics Assoc., 2023)

Leveraging natural language processing to augment structured social determinants of health data in the electronic health record. - Kevin Lybarger; Nicholas J. Dobbins; Ritche Long; Angad P. Singh; Patrick Wedgeworth; Özlem Uzuner; Meliha Yetisgen (J. Am. Medical Informatics Assoc., 2023)

Advancements in extracting social determinants of health information from narrative text. - Kevin Lybarger; Oliver J. Bear Don't Walk IV; Meliha Yetisgen; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2023)

The 2022 n2c2/UW shared task on extracting social determinants of health. - Kevin Lybarger; Meliha Yetisgen; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2023)

Extracting Social Determinants of Health from Pediatric Patient Notes Using Large Language Models: Novel Corpus and Methods. - Yujuan Fu; Giridhar Kaushik Ramachandran; Nicholas J. Dobbins; Namu Park; Michael Leu; Abby R. Rosenberg; Kevin Lybarger; Fei Xia 004; Özlem Uzuner; Meliha Yetisgen (LREC/COLING, 2024)

A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models. - Namu Park; Kevin Lybarger; Giridhar Kaushik Ramachandran; Spencer Lewis; Aashka Damani; Özlem Uzuner; Martin L. Gunn; Meliha Yetisgen (LREC/COLING, 2024)

Classifying Human-Generated and AI-Generated Election Claims in Social Media. - Alphaeus Dmonte; Marcos Zampieri; Kevin Lybarger; Massimiliano Albanese; Genya Coulter (SECRYPT, 2024)

BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning. - Yujuan Fu; Giridhar Kaushik Ramachandran; Namu Park; Kevin Lybarger; Fei Xia 004; Özlem Uzuner; Meliha Yetisgen (CoRR, 2024)

CACER: Clinical concept Annotations for Cancer Events and Relations. - Yujuan Fu; Giridhar Kaushik Ramachandran; Ahmad Halwani; Bridget T. McInnes; Fei Xia 004; Kevin Lybarger; Meliha Yetisgen; Özlem Uzuner (J. Am. Medical Informatics Assoc., 2024)

Health text simplification: An annotated corpus for digestive cancer education and novel strategies for reinforcement learning. - Md. Mushfiqur Rahman; Mohammad Sabik Irbaz; Kai North; Michelle S. Williams; Marcos Zampieri; Kevin Lybarger (J. Biomed. Informatics, 2024)

Patient and clinician acceptability of automated extraction of social drivers of health from clinical notes in primary care. - Serena Jinchen Xie; Carolin Spice; Patrick Wedgeworth; Raina Langevin; Kevin Lybarger; Angad P. Singh; Brian R Wood; Jared W. Klein; Gary Hsieh; Herbert Duber; Andrea L. Hartzler (J. Am. Medical Informatics Assoc., 2025)

Adapting Biomedical Abstracts into Plain language using Large Language Models. - Haritha Gangavarapu; Giridhar Kaushik Ramachandran; Kevin Lybarger; Meliha Yetisgen; Özlem Uzuner (CoRR, 2025)

Towards AI-Driven Human-Machine Co-Teaming for Adaptive and Agile Cyber Security Operation Centers. - Massimiliano Albanese; Xinming Ou; Kevin Lybarger; Daniel Lende; Dmitry B. Goldgof (CoRR, 2025)