Meliha Yetisgen

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 78

Top Topics

Event Extraction

Top Venues

J. Biomed. Informatics

J. Am. Medical Informatics Assoc.

Publications

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)
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)
Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Meliha Yetisgen
To Err Is Human, How about Medical Large Language Models? Comparing Pre-trained Language Models for Medical Assessment Errors and Reliability. LREC/COLING (2024)
Philip Chung, Christine T. Fong, Andrew M. Walters, Nima Aghaeepour, Meliha Yetisgen, Vikas N. O'Reilly-Shah
Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication. CoRR (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, Cécile Macaire, Christoph M. Friedrich, Cynthia S. Schmidt, Didier Schwab, Emmanuelle Esperança-Rodier, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ioan Coman, Johanna Schöler, Johannes Kiesel, Johannes Rückert, Louise Bloch, Martin Potthast, Maximilian Heinrich, Meliha Yetisgen, Michael A. Riegler, Neal Snider, Pål Halvorsen, Raphael Brüngel, Steven Alexander Hicks, Vajira Thambawita, Vassili Kovalev, Yuri Prokopchuk, Wen-wai Yim
Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. ECIR (6) (2024)
Wen-wai Yim, Asma Ben Abacha, Yujuan Fu, Zhaoyi Sun, Meliha Yetisgen, Fei Xia
Overview of the MEDIQA-MAGIC Task at ImageCLEF 2024: Multimodal And Generative TelemedICine in Dermatology. CLEF (Working Notes) (2024)
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 (2024)
Yanjun Gao, Diwakar Mahajan, Özlem Uzuner, Meliha Yetisgen
Clinical natural language processing for secondary uses. J. Biomed. Informatics 150 (2024)
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 (2024)
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) (2023)
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, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Steven Alexander Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen, Nikolaos Papachrysos, Johanna Schöler, Debesh Jha, Alexandra-Georgiana Andrei, Ioan Coman, Vassili Kovalev, Ahmedkhan Radzhabov, Yuri Prokopchuk, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Jérôme Deshayes, Adrian Popescu
Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. CLEF (2023)
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) (2023)
Nicholas J. Dobbins, Bin Han, Weipeng Zhou, Kristine Lan, H. Nina Kim, Robert D. Harrington, Özlem Uzuner, Meliha Yetisgen
LeafAI: query generator for clinical cohort discovery rivaling a human programmer. CoRR (2023)
Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner
The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health. CoRR (2023)
Weipeng Zhou, Meliha Yetisgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller
Improving model transferability for clinical note section classification models using continued pretraining. J. Am. Medical Informatics Assoc. 31 (1) (2023)
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 (2023)
Nicholas J. Dobbins, Bin Han, Weipeng Zhou, Kristine Lan, H. Nina Kim, Robert D. Harrington, Özlem Uzuner, Meliha Yetisgen
LeafAI: query generator for clinical cohort discovery rivaling a human programmer. J. Am. Medical Informatics Assoc. 30 (12) (2023)
Asma Ben Abacha, Wen-wai Yim, Griffin Adams, Neal Snider, Meliha Yetisgen
Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations. ClinicalNLP@ACL (2023)
Sitong Zhou, Meliha Yetisgen, Mari Ostendorf
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts. ClinicalNLP@ACL (2023)
Xiruo Ding, Zhecheng Sheng, Meliha Yetisgen, Serguei Pakhomov, Trevor Cohen
Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes. CoRR (2023)
Kevin Lybarger, Oliver J. Bear Don't Walk, Meliha Yetisgen, Özlem Uzuner
Advancements in extracting social determinants of health information from narrative text. J. Am. Medical Informatics Assoc. 30 (8) (2023)
Wen-wai Yim, Asma Ben Abacha, Griffin Adams, Neal Snider, Meliha Yetisgen
Overview of the MEDIQA-Sum Task at ImageCLEF 2023: Summarization and Classification of Doctor-Patient Conversations. CLEF (Working Notes) (2023)
Kevin Lybarger, Nicholas J. Dobbins, Ritche Long, Angad 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) (2023)
Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Neal Snider, Thomas Lin, Meliha Yetisgen
ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation. CoRR (2023)
Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Adrian Popescu, Ahmad Idrissi-Yaghir, Alba García Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Christoph M. Friedrich, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ihar Filipovich, Ioan Coman, Jérôme Deshayes, Johanna Schöler, Johannes Rückert, Liviu-Daniel Stefan, Louise Bloch, Meliha Yetisgen, Michael A. Riegler, Mihai Dogariu, Mihai Gabriel Constantin, Neal Snider, Nikolaos Papachrysos, Pål Halvorsen, Raphael Brüngel, Serge Kozlovski, Steven Hicks, Thomas de Lange, Vajira Thambawita, Vassili Kovalev, Wen-wai Yim
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. ECIR (3) (2023)
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)
Sitong Zhou, Meliha Yetisgen, Mari Ostendorf
Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts. CoRR (2023)
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 (2023)
Sitong Zhou, Kevin Lybarger, Meliha Yetisgen, Mari Ostendorf
Generalizing through Forgetting - Domain Generalization for Symptom Event Extraction in Clinical Notes. CoRR (2022)
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 (2022)
Meliha Yetisgen, Özlem Uzuner, Yanjun Gao, Diwakar Mahajan
Call for papers: Special issue on clinical natural language processing for secondary use applications. J. Biomed. Informatics 133 (2022)
Nicholas J. Dobbins, Tony Mullen, Özlem Uzuner, Meliha Yetisgen
The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria. CoRR (2022)
Kevin Lybarger, Nicholas J. Dobbins, Ritche Long, Angad 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 (2022)
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)
Wilson Lau, Kevin Lybarger, Martin L. Gunn, Meliha Yetisgen
Event-based clinical findings extraction from radiology reports with pre-trained language model. CoRR (2021)
Kevin Lybarger, Erica Qiao, Meliha Yetisgen
An exploration of information extraction models on transcribed patient visits. AMIA (2021)
Grace K. Turner, Meliha Yetisgen
Comparison of Three Phrase Chunking Approaches on Medical Concept Coverage in Clinical Text. AMIA (2021)
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 (2021)
Kahyun Lee, Nicholas J. Dobbins, Bridget T. McInnes, Meliha Yetisgen, Özlem Uzuner
Transferability of neural network clinical deidentification systems. J. Am. Medical Informatics Assoc. 28 (12) (2021)
Nicholas J. Dobbins, David Wayne, Kahyun Lee, Özlem Uzuner, Meliha Yetisgen
Performance of Automatic De-identification Across Different Note Types. CoRR (2021)
Kahyun Lee, Nicholas J. Dobbins, Bridget T. McInnes, Meliha Yetisgen, Özlem Uzuner
Transferability of Neural Network-based De-identification Systems. CoRR (2021)
Arjun Chakraborty, Kevin Lybarger, Dustin Long, Vikas O. Shah, Meliha Yetisgen
Automatic Detection of Surgical Site Infections Using EHR Data. AMIA (2021)
Wilson Lau, David Wayne, Spencer Lewis, Özlem Uzuner, Martin L. Gunn, Meliha Yetisgen
A New Corpus for Clinical Findings in Radiology Reports. AMIA (2021)
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 (2021)
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 (2021)
Wilson Lau, Laura Aaltonen, Martin L. Gunn, Meliha Yetisgen
Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation. AMIA (2021)
Paul Barry, Sam Henry, Meliha Yetisgen, Bridget T. McInnes, Özlem Uzuner
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context. CoRR (2021)
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 (2021)
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)
Paul Barry, Sam Henry, Meliha Yetisgen, Bridget T. McInnes, Özlem Uzuner
Jointly Learning Clinical Entities and Relations with Contextual Language Models and Explicit Context. AMIA (2020)
Dae Hyun Lee, Meliha Yetisgen, Lucy Vanderwende, Eric Horvitz
Predicting severe clinical events by learning about life-saving actions and outcomes using distant supervision. J. Biomed. Informatics 107 (2020)
Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen
Annotating Social Determinants of Health Using Active Learning, and Characterizing Determinants Using Neural Event Extraction. CoRR (2020)
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 (2020)
Wilson Lau, Laura Aaltonen, Martin L. Gunn, Meliha Yetisgen
Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation. CoRR (2020)
Wen-wai Yim, Meliha Yetisgen, Jenny Huang, Micah Grossman
Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation. LREC (2020)
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)
Wilson Lau, Thomas H. Payne, Özlem Uzuner, Meliha Yetisgen
Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset. CoRR (2019)
Kevin Lybarger, Mari Ostendorf, Özlem Uzuner, Meliha Yetisgen
Automatic Identification of Social Determinants of Health from Clinical Records. AMIA (2019)
Kevin Lybarger, Meliha Yetisgen, Mari Ostendorf
Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes. AMIA (2018)
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. 9 (04) (2018)
Ramón Maldonado, Mark Sullivan, Meliha Yetisgen, Sanda M. Harabagiu
Hierarchical Attention-Based Prediction Model for Discovering the Persistence of Chronic Opioid Therapy from a large Clinical Dataset. AMIA (2018)
Dae Hyun Lee, Meliha Yetisgen, Eric Horvitz
Learning about Life-Saving Interventions to Predict the Risk of Acute Organ Failures. AMIA (2018)
Kevin Lybarger, Mari Ostendorf, Meliha Yetisgen
Automatically Detecting Likely Edits in Clinical Notes Created Using Automatic Speech Recognition. AMIA (2017)
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)
Wen-wai Yim, Sharon W. Kwan, Guy Johnson, Meliha Yetisgen
Classification of hepatocellular carcinoma stages from free-text clinical and radiology reports. AMIA (2017)
Meliha Yetisgen, Lucy Vanderwende
Automatic Identification of Substance Abuse Events from Clinical Text. CRI (2017)
Dae Hyun Lee, Meliha Yetisgen
Clustering Vital Sign Observations Using Unsupervised Random Forest. AMIA (2017)
Wen-wai Yim, Sharon W. Kwan, Meliha Yetisgen
Automatic Liver Cancer Stage Prediction From Free-Text Clinical Notes. CRI (2017)
Meliha Yetisgen, Lucy Vanderwende
Automatic Identification of Substance Abuse from Social History in Clinical Text. AIME (2017)
Wen-wai Yim, Sharon W. Kwan, Meliha Yetisgen
Classifying tumor event attributes in radiology reports. J. Assoc. Inf. Sci. Technol. 68 (11) (2017)
Adyasha Maharana, Meliha Yetisgen
Clinical Event Detection with Hybrid Neural Architecture. BioNLP (2017)
Wen-wai Yim, Tyler Denman, Sharon W. Kwan, Meliha Yetisgen
Tumor Information Extraction in Radiology Reports for Hepatocellular Carcinoma Patients. CRI (2016)
Meliha Yetisgen, Elena Pellicer, David R. Crosslin, Lucy Vanderwende
Automatic Identification of Lifestyle and Environmental Factors from Social History in Clinical Text. CRI (2016)
Wen-wai Yim, Tyler Denman, Sharon W. Kwan, Meliha Yetisgen
Annotation of Tumor Reference Resolution and Tumor Characteristics for Cancer Liver Stage Prediction. AMIA (2016)
Wen-wai Yim, Sharon W. Kwan, Meliha Yetisgen
Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction. J. Biomed. Informatics 64 (2016)
Meliha Yetisgen, Lucy Vanderwende, Tony Black, Sean Mooney, Peter Tarczy-Hornoch
A New Way of Representing Clinical Reports for Rapid Phenotyping. CRI (2016)
Michael G. Semanik, Meliha Yetisgen, Ari Pollack
Identification of an Acute Kidney Injury Phenotype from Electronic Health Record Data. CRI (2016)
Prescott Klassen, Fei Xia, Meliha Yetisgen
Annotating and Detecting Medical Events in Clinical Notes. LREC (2016)
Wen-wai Yim, Sharon W. Kwan, Meliha Yetisgen
In-depth annotation for patient level liver cancer staging. Louhi@EMNLP (2015)
Meliha Yetisgen, Prescott Klassen, Lucas McCarthy, Thomas H. Payne, Martin L. Gunn
Annotating Recommendation Sentences in Radiology Reports. AMIA (2015)
Meliha Yetisgen, Prescott Klassen, Lucas McCarthy, Elena Pellicer, Tom Payne, Martin L. Gunn
Annotation of Clinically Important Follow-up Recommendations in Radiology Reports. Louhi@EMNLP (2015)
Wen-wai Yim, Sharon W. Kwan, Guy Johnson, Meliha Yetisgen
Annotation of Disease Characteristics for Cancer Liver Stage Prediction. AMIA (2015)
Wen-wai Yim, Xavier Engle, Heather L. Evans, Meliha Yetisgen
A New Corpus for Structured Microbiology Results. AMIA (2014)
Prescott Klassen, Fei Xia, Lucy Vanderwende, Meliha Yetisgen
Annotating Clinical Events in Text Snippets for Phenotype Detection. LREC (2014)
Özlem Uzuner, Meliha Yetisgen, Amber Stubbs
Biomedical/Clinical NLP. COLING (Tutorials) (2014)
Ismail H. Toroslu, Meliha Yetisgen
Data Mining in Deductive Databases Using Query Flocks: Extended Abstract. JCIS (2002)
Meliha Yetisgen, Ismail H. Toroslu
Data Mining Using Query Flocks with Views. DEXA (2000)