Meliha Yetisgen Yildiz

Associate Professor

Department of Biomedical Informatics and Medical Education University of Washington

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基本信息

Career Trajectory

Bio

I am an Associate Professor in the Department of Biomedical Informatics and Medical Education at the University of Washington. I lead the UW Biomedical Language Processing (UW-BioNLP) Group. Previously, I worked in the industry and was a PhD student and postdoctoral researcher at the University of Washington.

Research Interests
Biomedical and clinical text processing
Natural language processing
Information retrieval

Research Interests

Papers共 138 篇Author StatisticsCo-AuthorSimilar Experts

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Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication

Philip Chung,Christine T. Fong,Andrew M. Walters,Nima Aghaeepour,Meliha Yetisgen,Vikas N. O'Reilly-Shah

JAMA SURGERYno. 8 (2024): 928-937

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Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication

Philip Chung,Christine T Fong,Andrew M Walters, Nima Aghaeepour,Meliha Yetisgen,Vikas N O'Reilly-Shah

arXiv (Cornell University) (2024)

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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

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATIONno. 1 (2024): 89-97

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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

International Conference on Computational Linguisticspp.16211-16223, (2024)

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Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024

Bogdan Ionescu,Henning Mueller,Ana Maria Dragulinescu,Ahmad Idrissi-Yaghir,Ahmedkhan Radzhabov,Alba Garcia Seco de Herrera,Alexandra Andrei,Alexandru Stan,Andrea M. Storas,Asma Ben Abacha,Benjamin Lecouteux,Benno Stein,Cecile Macaire,Christoph M. Friedrich,Cynthia Sabrina Schmidt,Didier Schwab,Emmanuelle Esperanca-Rodier,George Ioannidis,Griffin Adams,Henning Schaefer,Hugo Manguinhas,Ioan Coman,Johanna Schoeler,Johannes Kiesel,Johannes Rueckert,Louise Bloch,Martin Potthast,Maximilian Heinrich,Meliha Yetisgen,Michael A. Riegler,Neal Snider,Pal Halvorsen,Raphael Bruengel,Steven A. Hicks,Vajira Thambawita,Vassili Kovalev,Yuri Prokopchuk,Wen-Wai Yim

ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT VI（2024）

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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,Ozlem Uzuner,Meliha Yetisgen

International Conference on Language Resources and Evaluation (2024): 7045-7056

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CACER: Clinical Concept Annotations for Cancer Events and Relations

Yujuan Velvin Fu,Giridhar Kaushik Ramachandran,Ahmad Halwani,Bridget T. McInnes,Fei Xia,Kevin Lybarger,Meliha Yetisgen,Oezlem Uzuner

Journal of the American Medical Informatics Association JAMIAno. 11 (2024): 2583-2594

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Large Language Models for Biomedicine: Foundations, Opportunities, Challenges, and Best Practices

Satya S. Sahoo,Joseph M. Plasek,Hua Xu,Ozlem Uzuner,Trevor Cohen,Meliha Yetisgen,Hongfang Liu,Stephane Meystre,Yanshan Wang

J Am Medical Informatics Assoc（2024）

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Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes

Xiruo Ding,Zhecheng Sheng,Meliha Yetişgen,Serguei Pakhomov,Trevor Cohen

CoRR (2024): 923-932

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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,Ozlem Uzuner,Martin Gunn,Meliha Yetisgen

arXiv (Cornell University)pp.1280-1292, (2024)

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Author Statistics

#Papers: 138

#Citation: 2701

H-Index: 25

G-Index: 48

Sociability: 6

Diversity: 2

Activity: 62

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