Data Mining Using Query Flocks with Views. - Meliha Yetisgen; Ismail H. Toroslu (DEXA, 2000)

Data Mining in Deductive Databases Using Query Flocks: Extended Abstract. - Ismail H. Toroslu; Meliha Yetisgen (JCIS, 2002)

A Study of Biomedical Concept Identification: MetaMap vs. People. - Wanda Pratt; Meliha Yetisgen-Yildiz (AMIA, 2003)

LitLinker: capturing connections across the biomedical literature. - Wanda Pratt; Meliha Yetisgen-Yildiz (K-CAP, 2003)

The Effect of Feature Representation on MEDLINE Document Classification. - Meliha Yetisgen-Yildiz; Wanda Pratt (AMIA, 2005)

Interaction design for literature-based discovery. - Meredith M. Skeels; Kiera Henning; Meliha Yetisgen-Yildiz; Wanda Pratt (CHI Extended Abstracts, 2005)

Data mining in deductive databases using query flocks. - Ismail H. Toroslu; Meliha Yetisgen-Yildiz (Expert Syst. Appl., 2005)

Using statistical and knowledge-based approaches for literature-based discovery. - Meliha Yetisgen-Yildiz; Wanda Pratt (J. Biomed. Informatics, 2006)

Extracting the meaning of medical concept correlations. - Meliha Yetisgen-Yildiz; Wanda Pratt (K-CAP, 2007)

Response to ''Validating discovery in literature-based discovery". - Wanda Pratt; Meliha Yetisgen-Yildiz (J. Biomed. Informatics, 2007)

Finding the Meaning of Medical Concept Correlations. - Meliha Yetisgen-Yildiz; Wanda Pratt (AMIA, 2008)

A new evaluation methodology for literature-based discovery systems. - Meliha Yetisgen-Yildiz; Wanda Pratt (J. Biomed. Informatics, 2009)

Annotating Large Email Datasets for Named Entity Recognition with Mechanical Turk. - Nolan Lawson; Kevin Eustice; Mike Perkowitz; Meliha Yetisgen-Yildiz (Mturk@HLT-NAACL, 2010)

Preliminary Experiments with Amazon's Mechanical Turk for Annotating Medical Named Entities. - Meliha Yetisgen-Yildiz; Imre Solti; Fei Xia 004; Scott R. Halgrim (Mturk@HLT-NAACL, 2010)

Dynamic categorization of clinical research eligibility criteria by hierarchical clustering. - Zhihui Luo 001; Meliha Yetisgen-Yildiz; Chunhua Weng (J. Biomed. Informatics, 2011)

Assessing Pneumonia Identification from Time-Ordered Narrative Reports. - Cosmin Adrian Bejan; Lucy Vanderwende; Mark M. Wurfel; Meliha Yetisgen-Yildiz (AMIA, 2012)

Text Classification to Weave Medical Advice with Patient Experiences. - Jina Huh; Meliha Yetisgen-Yildiz; Andrea L. Hartzler; David W. McDonald; Albert Park; Wanda Pratt (AMIA, 2012)

Smoking Status Detection Across Domains. - Michael Tepper; Fei Xia 004; Meliha Yetisgen-Yildiz (AMIA, 2012)

Brainstorming design for health: helping patients utilize patient-generated information on the web. - Jina Huh; Andrea L. Hartzler; Sean A. Munson; Nick R. Anderson 001; Kelly Edwards; John L. Gore; David W. McDonald; Jim O'Leary; Andrea A. Parker; Derek Streat; Meliha Yetisgen-Yildiz; Mark S. Ackerman; et al. (CSCW (Companion), 2012)

Statistical Section Segmentation in Free-Text Clinical Records. - Michael Tepper; Daniel Capurro; Fei Xia 004; Lucy Vanderwende; Meliha Yetisgen-Yildiz (LREC, 2012)

Pneumonia identification using statistical feature selection. - Cosmin Adrian Bejan; Fei Xia 004; Lucy Vanderwende; Mark M. Wurfel; Meliha Yetisgen-Yildiz (J. Am. Medical Informatics Assoc., 2012)

On-time clinical phenotype prediction based on narrative reports. - Cosmin Adrian Bejan; Lucy Vanderwende; Heather L. Evans; Mark M. Wurfel; Meliha Yetisgen-Yildiz (AMIA, 2013)

Identification of Patients with Acute Lung Injury from Free-Text Chest X-Ray Reports. - Meliha Yetisgen-Yildiz; Cosmin Bejan; Mark M. Wurfel (BioNLP@ACL, 2013)

Annotating Change of State for Clinical Events. - Lucy Vanderwende; Fei Xia 004; Meliha Yetisgen-Yildiz (EVENTS@NAACL-HLT, 2013)

Assertion modeling and its role in clinical phenotype identification. - Cosmin Adrian Bejan; Lucy Vanderwende; Fei Xia 004; Meliha Yetisgen-Yildiz (J. Biomed. Informatics, 2013)

Text classification for assisting moderators in online health communities. - Jina Huh; Meliha Yetisgen-Yildiz; Wanda Pratt (J. Biomed. Informatics, 2013)

A text processing pipeline to extract recommendations from radiology reports. - Meliha Yetisgen-Yildiz; Martin L. Gunn; Fei Xia 004; Thomas H. Payne (J. Biomed. Informatics, 2013)

A New Corpus for Structured Microbiology Results. - Wen-wai Yim; Xavier Engle; Heather L. Evans; Meliha Yetisgen (AMIA, 2014)

Improving Literature-Based Discovery with Advanced Text Mining. - Anna Korhonen; Yufan Guo; Simon Baker; Meliha Yetisgen-Yildiz; Ulla Stenius; Masashi Narita; Pietro Liò (CIBB, 2014)

Biomedical/Clinical NLP. - Özlem Uzuner; Meliha Yetisgen; Amber Stubbs (COLING (Tutorials), 2014)

Annotating Clinical Events in Text Snippets for Phenotype Detection. - Prescott Klassen; Fei Xia 004; Lucy Vanderwende; Meliha Yetisgen (LREC, 2014)

Annotation of Clinically Important Follow-up Recommendations in Radiology Reports. - Meliha Yetisgen; Prescott Klassen; Lucas McCarthy; Elena Pellicer; Tom Payne; Martin L. Gunn (Louhi@EMNLP, 2015)

In-depth annotation for patient level liver cancer staging. - Wen-wai Yim; Sharon W. Kwan; Meliha Yetisgen (Louhi@EMNLP, 2015)

Annotating Recommendation Sentences in Radiology Reports. - Meliha Yetisgen; Prescott Klassen; Lucas McCarthy; Thomas H. Payne; Martin L. Gunn (AMIA, 2015)

Annotation of Disease Characteristics for Cancer Liver Stage Prediction. - Wen-wai Yim; Sharon W. Kwan; Guy Johnson; Meliha Yetisgen (AMIA, 2015)

Annotation of Tumor Reference Resolution and Tumor Characteristics for Cancer Liver Stage Prediction. - Wen-wai Yim; Tyler Denman; Sharon W. Kwan; Meliha Yetisgen (AMIA, 2016)

Identification of an Acute Kidney Injury Phenotype from Electronic Health Record Data. - Michael G. Semanik; Meliha Yetisgen; Ari Pollack (CRI, 2016)

Automatic Identification of Lifestyle and Environmental Factors from Social History in Clinical Text. - Meliha Yetisgen; Elena Pellicer; David R. Crosslin; Lucy Vanderwende (CRI, 2016)

A New Way of Representing Clinical Reports for Rapid Phenotyping. - Meliha Yetisgen; Lucy Vanderwende; Tony Black; Sean D. Mooney; Peter Tarczy-Hornoch (CRI, 2016)

Tumor Information Extraction in Radiology Reports for Hepatocellular Carcinoma Patients. - Wen-wai Yim; Tyler Denman; Sharon W. Kwan; Meliha Yetisgen (CRI, 2016)

Annotating and Detecting Medical Events in Clinical Notes. - Prescott Klassen; Fei Xia 004; Meliha Yetisgen (LREC, 2016)

Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction. - Wen-wai Yim; Sharon W. Kwan; Meliha Yetisgen (J. Biomed. Informatics, 2016)

Automatic Identification of Substance Abuse from Social History in Clinical Text. - Meliha Yetisgen; Lucy Vanderwende (AIME, 2017)

Clustering Vital Sign Observations Using Unsupervised Random Forest. - Dae Hyun Lee; Meliha Yetisgen (AMIA, 2017)

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)

Classification of hepatocellular carcinoma stages from free-text clinical and radiology reports. - Wen-wai Yim; Sharon W. Kwan; Guy Johnson; Meliha Yetisgen (AMIA, 2017)

Clinical Event Detection with Hybrid Neural Architecture. - Adyasha Maharana; Meliha Yetisgen (BioNLP, 2017)

Automatic Identification of Substance Abuse Events from Clinical Text. - Meliha Yetisgen; Lucy Vanderwende (CRI, 2017)

Automatic Liver Cancer Stage Prediction From Free-Text Clinical Notes. - Wen-wai Yim; Sharon W. Kwan; Meliha Yetisgen (CRI, 2017)

Classifying tumor event attributes in radiology reports. - Wen-wai Yim; Sharon W. Kwan; Meliha Yetisgen (J. Assoc. Inf. Sci. Technol., 2017)

Learning about Life-Saving Interventions to Predict the Risk of Acute Organ Failures. - Dae Hyun Lee; Meliha Yetisgen; Eric Horvitz (AMIA, 2018)

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

Hierarchical Attention-Based Prediction Model for Discovering the Persistence of Chronic Opioid Therapy from a large Clinical Dataset. - Ramón Maldonado; Mark Sullivan; Meliha Yetisgen; Sanda M. Harabagiu (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)

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

Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset. - Wilson Lau; Thomas H. Payne; Özlem Uzuner; Meliha Yetisgen (CoRR, 2019)

Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context. - Paul Barry; Sam Henry 001; Meliha Yetisgen; Bridget T. McInnes; Özlem Uzuner (AMIA, 2020)

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)

Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation. - Wen-wai Yim; Meliha Yetisgen; Jenny Huang; Micah Grossman (LREC, 2020)

Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision. - Dae Hyun Lee; Meliha Yetisgen; Lucy Vanderwende; Eric Horvitz (J. Biomed. Informatics, 2020)

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

Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation. - Wilson Lau; Laura Aaltonen; Martin L. Gunn; Meliha Yetisgen (AMIA, 2021)

A New Corpus for Clinical Findings in Radiology Reports. - Wilson Lau; David Wayne; Spencer Lewis; Özlem Uzuner; Martin L. Gunn; 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)

Comparison of Three Phrase Chunking Approaches on Medical Concept Coverage in Clinical Text. - Grace K. Turner; Meliha Yetisgen (AMIA, 2021)

Transferability of Neural Network-based De-identification Systems. - Kahyun Lee; Nicholas J. Dobbins; Bridget T. McInnes; Meliha Yetisgen; Özlem Uzuner (CoRR, 2021)

Performance of Automatic De-identification Across Different Note Types. - Nicholas J. Dobbins; David Wayne; Kahyun Lee; Özlem Uzuner; Meliha Yetisgen (CoRR, 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)

Transferability of neural network clinical deidentification systems. - Kahyun Lee; Nicholas J. Dobbins; Bridget T. McInnes; Meliha Yetisgen; Özlem Uzuner (J. Am. Medical Informatics Assoc., 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)

The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria. - Nicholas J. Dobbins; Tony Mullen; Özlem Uzuner; Meliha Yetisgen (CoRR, 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)

Call for papers: Special issue on clinical natural language processing for secondary use applications. - Meliha Yetisgen; Özlem Uzuner; Yanjun Gao; Diwakar Mahajan (J. Biomed. Informatics, 2022)

Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations. - Asma Ben Abacha; Wen-wai Yim; Griffin Adams; Neal Snider; Meliha Yetisgen (ClinicalNLP@ACL, 2023)

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)

Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts. - Sitong Zhou; Meliha Yetisgen; Mari Ostendorf (ClinicalNLP@ACL, 2023)

Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Dragulinescu; Wen-wai Yim; Asma Ben Abacha; Neal Snider; Griffin Adams; Meliha Yetisgen; Johannes Rückert; Alba García Seco de Herrera; Christoph M. Friedrich; Louise Bloch; et al. (CLEF, 2023)

Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations. - Wen-wai Yim; Asma Ben Abacha; Griffin Adams; Neal Snider; Meliha Yetisgen (CLEF (Working Notes), 2023)

ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Claudia Dragulinescu; Adrian Popescu 001; Ahmad Idrissi-Yaghir; Alba García Seco de Herrera; Alexandra Andrei; Alexandru Stan; Andrea M. Storås; Asma Ben Abacha; Christoph M. Friedrich; George Ioannidis; et al. (ECIR (3), 2023)

ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation. - Wen-wai Yim; Yujuan Fu; Asma Ben Abacha; Neal Snider; Thomas Lin; Meliha Yetisgen (CoRR, 2023)

Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes. - Xiruo Ding; Zhecheng Sheng; Meliha Yetisgen; Serguei Pakhomov; Trevor Cohen (CoRR, 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)

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)

LeafAI: query generator for clinical cohort discovery rivaling a human programmer. - Nicholas J. Dobbins; Bin Han; Weipeng Zhou; Kristine Lan; H. Nina Kim; Robert D. Harrington; Özlem Uzuner; Meliha Yetisgen (J. Am. Medical Informatics Assoc., 2023)

Improving model transferability for clinical note section classification models using continued pretraining. - Weipeng Zhou; Meliha Yetisgen; Majid Afshar; Yanjun Gao; Guergana Savova; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2023)

Overview of the MEDIQA-CORR 2024 Shared Task on Medical Error Detection and Correction. - Asma Ben Abacha; Wen-wai Yim; Yujuan Fu; Zhaoyi Sun; Fei Xia 004; Meliha Yetisgen (ClinicalNLP@NAACL, 2024)

Overview of the MEDIQA-M3G 2024 Shared Task on Multilingual Multimodal Medical Answer Generation. - Wen-wai Yim; Asma Ben Abacha; Yujuan Fu; Zhaoyi Sun; Fei Xia 004; Meliha Yetisgen; Martin Krallinger (ClinicalNLP@NAACL, 2024)

Is That the Right Dose? Investigating Generative Language Model Performance on Veterinary Prescription Text Analysis. - Brian Hur; Lucy Lu Wang; Laura Hardefeldt; Meliha Yetisgen (BioNLP@ACL, 2024)

Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Dragulinescu; Johannes Rückert; Asma Ben Abacha; Alba García Seco de Herrera; Louise Bloch; Raphael Brüngel; Ahmad Idrissi-Yaghir; Henning Schäfer; Cynthia Sabrina Schmidt; Tabea Margareta Grace Pakull; et al. (CLEF (2), 2024)

Overview of the MEDIQA-MAGIC Task at ImageCLEF 2024: Multimodal And Generative TelemedICine in Dermatology. - Wen-wai Yim; Asma Ben Abacha; Yujuan Fu; Zhaoyi Sun; Meliha Yetisgen; Fei Xia 004 (CLEF (Working Notes), 2024)

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)

To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability. - Wen-wai Yim; Yujuan Fu; Asma Ben Abacha; Meliha Yetisgen (LREC/COLING, 2024)

Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. - Bogdan Ionescu; Henning Müller; Ana-Maria Claudia Dragulinescu; Ahmad Idrissi-Yaghir; Ahmedkhan Radzhabov; Alba Garcia Seco de Herrera; Alexandra Andrei; Alexandru Stan; Andrea M. Storås; Asma Ben Abacha; Benjamin Lecouteux; Benno Stein 001; et al. (ECIR (6), 2024)

DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology. - Wen-wai Yim; Yujuan Fu; Zhaoyi Sun; Asma Ben Abacha; Meliha Yetisgen; Fei Xia 004 (MICCAI (5), 2024)

Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication. - Philip Chung 005; Christine T. Fong; Andrew M. Walters; Nima Aghaeepour; Meliha Yetisgen; Vikas N. O'Reilly-Shah (CoRR, 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)

Large language models for biomedicine: foundations, opportunities, challenges, and best practices. - Satya S. Sahoo; Joseph M. Plasek; Hua Xu 001; Özlem Uzuner; Trevor Cohen; Meliha Yetisgen; Hongfang Liu; Stéphane M. Meystre; Yanshan Wang (J. Am. Medical Informatics Assoc., 2024)

Clinical natural language processing for secondary uses. - Yanjun Gao; Diwakar Mahajan; Özlem Uzuner; Meliha Yetisgen (J. Biomed. Informatics, 2024)

MEDEC: A Benchmark for Medical Error Detection and Correction in Clinical Notes. - Asma Ben Abacha; Wen-wai Yim; Yujuan Fu; Zhaoyi Sun; Meliha Yetisgen; Fei Xia 004; Thomas Lin (ACL (Findings), 2025)

Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions. - Yujuan Fu; Özlem Uzuner; Meliha Yetisgen; Fei Xia 004 (NAACL (Findings), 2025)

Tailoring task arithmetic to address bias in models trained on multi-institutional datasets. - Xiruo Ding; Zhecheng Sheng; Brian Hur; Justin Tauscher; Dror Ben-Zeev; Meliha Yetisgen; Serguei Pakhomov; Trevor Cohen (J. Biomed. Informatics, 2025)

A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination. - Zhaoyi Sun; Wen-wai Yim; Özlem Uzuner; Fei Xia 004; Meliha Yetisgen (J. Biomed. Informatics, 2025)

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

Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer's Disease. - Nicholas J. Dobbins; Christelle Xiong; Kristine Lan; Meliha Yetisgen (CoRR, 2025)

Spurious Correlations and Beyond: Understanding and Mitigating Shortcut Learning in SDOH Extraction with Large Language Models. - Fardin Ahsan Sakib; Ziwei Zhu; Karen Trister Grace; Meliha Yetisgen; Özlem Uzuner (CoRR, 2025)

TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction. - Sihang Zeng; Lucas Jing Liu; Jun Wen; Meliha Yetisgen; Ruth Etzioni; Gang Luo (CoRR, 2025)