🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Meliha Yetişgen

University of Washington Medical Center

ORCID: 0000-0001-9919-9811

Also affiliated with University of Rochester Medicine

Computer ScienceBiochemistry, Genetics and Molecular BiologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile
3.6Author DataRank

Indexed papers

5in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 5 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The 2022 n2c2/UW shared task on extracting social determinants of health

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad012
Top 11%
2.0DataRank
Top 11%48 citations

Meliha Yetişgen, Özlem Uzuner, Kevin Lybarger

Papers

Driven by 25 papers — median percentile 50. Top paper: “The 2022 n2c2/UW shared task on extracting social determinants of health”.

The 2022 n2c2/UW shared task on extracting social determinants of health

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad012
Top 11%
2.0DataRank
Top 11%48 citations

Meliha Yetişgen, Özlem Uzuner, Kevin Lybarger

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning

(2023)10.18653/v1/2023.clinicalnlp-1.41
Top 20%
1.0DataRank
Top 20%18 citations

Yujuan Fu, Bin Han, Kevin Lybarger, Nic Dobbins, Özlem Uzuner +2 more

Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103631
N/A
0.663DataRank · unranked
82 citations

Mari Ostendorf, Meliha Yetişgen, Kevin Lybarger

Leveraging natural language processing to augment structured social determinants of health data in the electronic health record

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad073
N/A
0.578DataRank · unranked
46 citations

Nicholas J Dobbins, Ritche Long, Angad Singh, Patrick Wedgeworth, Özlem Uzuner +2 more

Extracting medication changes in clinical narratives using pre-trained language models

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104302
N/A
0.425DataRank · unranked
16 citations

Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou +3 more

Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model

Journal of Digital Imaging(2022)10.1007/s10278-022-00717-5
N/A
0.360DataRank · unranked
10 citations

Kevin Lybarger, Martin L. Gunn, Meliha Yetişgen, Wilson Lau

The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health

arXiv (Cornell University)(2023)10.48550/arxiv.2301.05571
Top 50%
0.350DataRank
Top 50%3 citations

Meliha Yetişgen, Özlem Uzuner, Kevin Lybarger

Advancements in extracting social determinants of health information from narrative text

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad121
N/A
0.345DataRank · unranked
9 citations

Oliver J. Bear Don’t Walk, Meliha Yetişgen, Özlem Uzuner, Kevin Lybarger

Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions

(2025)10.18653/v1/2025.findings-naacl.291
N/A
0.241DataRank · unranked
4 citations

Özlem Uzuner, Meliha Yetişgen, Fei Xia, Yujuan Fu

CACER: Clinical concept Annotations for Cancer Events and Relations

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae231
Top 63%
0.220DataRank
Top 63%3 citations

Giridhar Kaushik Ramachandran, Ahmad Halwani, Bridget T. McInnes, Fei Xia, Kevin Lybarger +3 more

Performance of Automatic De-identification Across Different Note Types

arXiv (Cornell University)(2021)10.48550/arxiv.2102.11032
N/A
0.104DataRank · unranked
1 citations

David H. Wayne, Kahyun Lee, Özlem Uzuner, Meliha Yetişgen, Nicholas J Dobbins

Is That the Right Dose? Investigating Generative Language Model Performance on Veterinary Prescription Text Analysis

(2024)10.18653/v1/2024.bionlp-1.30
N/A
0DataRank · unranked
2 citations

Lucy Lu Wang, Laura Y. Hardefeldt, Meliha Yetişgen, Brian Hur

Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions

arXiv (Cornell University)(2024)10.48550/arxiv.2410.18966
N/A
0DataRank · unranked
0 citations

Özlem Uzuner, Meliha Yetişgen, Fei Xia, Yujuan Fu

A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104866
N/A
0DataRank · unranked
11 citations

Wen-wai Yim, Özlem Uzuner, Fei Xia, Meliha Yetişgen, Zhaoyi Sun

Adapting Biomedical Abstracts into Plain language using Large Language Models

arXiv (Cornell University)(2025)10.48550/arxiv.2501.15700
N/A
0DataRank · unranked
0 citations

Giridhar Kaushik Ramachandran, Kevin Lybarger, Meliha Yetişgen, Özlem Uzuner, Haritha Gangavarapu

LeafAI: query generator for clinical cohort discovery rivaling a human programmer

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad149
N/A
0DataRank · unranked
10 citations

Bin Han, Weipeng Zhou, Kristine F Lan, H. Nina Kim, Robert A. Harrington +3 more

Improving model transferability for clinical note section classification models using continued pretraining

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad190
N/A
0DataRank · unranked
10 citations

Meliha Yetişgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller +1 more

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad159
N/A
0DataRank · unranked
8 citations

Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao +62 more

Improving Model Transferability for Clinical Note Section Classification Models Using Continued Pretraining

medRxiv(2023)10.1101/2023.04.15.23288628
N/A
0DataRank · unranked
3 citations

Meliha Yetişgen, Majid Afshar, Yanjun Gao, Guergana Savova, Timothy A. Miller +1 more

LeafAI: query generator for clinical cohort discovery rivaling a human programmer

arXiv (Cornell University)(2023)10.48550/arxiv.2304.06203
N/A
0DataRank · unranked
0 citations

Bin Han, Weipeng Zhou, Kristine F Lan, H. Nina Kim, Robert A. Harrington +3 more

Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning

arXiv (Cornell University)(2023)10.48550/arxiv.2306.07170
Top 100%
0DataRank
Top 100%0 citations

Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J Dobbins, Özlem Uzuner +2 more

Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts

arXiv (Cornell University)(2023)10.48550/arxiv.2306.09544
N/A
0DataRank · unranked
0 citations

Meliha Yetişgen, Mari Ostendorf, Sitong Zhou

Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shifts

(2023)10.18653/v1/2023.clinicalnlp-1.38
N/A
0DataRank · unranked
0 citations

Meliha Yetişgen, Mari Ostendorf, Sitong Zhou

Large language models for biomedicine: foundations, opportunities, challenges, and best practices

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae074
N/A
0DataRank · unranked
53 citations

Joseph M. Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetişgen +4 more

Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication

arXiv (Cornell University)(2024)10.48550/arxiv.2401.01620
N/A
0DataRank · unranked
2 citations

Christine T. Fong, Andrew M. Walters, Nima Aghaeepour, Meliha Yetişgen, Vikas N. O’Reilly-Shah +1 more