Nicholas J. Dobbins

According to our database, Nicholas J. Dobbins authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards cross-application model-agnostic federated cohort discovery.

Nicholas J. Dobbins, Michele Morris, Eugene Sadhu, Douglas MacFadden, Marc-Danie Nazaire, William Simons, Griffin M. Weber, Shawn N. Murphy, Shyam Visweswaran

J. Am. Medical Informatics Assoc., 2024

Generalizable and Scalable Multistage Biomedical Concept Normalization Leveraging Large Language Models.

Nicholas J. Dobbins

CoRR, 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, Özlem Uzuner, Meliha Yetisgen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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., November, 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., July, 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

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

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

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

The NLP Sandbox: an efficient model-to-data system to enable federated and unbiased evaluation of clinical NLP models.

Yao Yan, Thomas Yu, Kathleen Muenzen, Sijia Liu, Connor Boyle, George Koslowski, Jiaxin Zheng, Nicholas J. Dobbins, Clement Essien, Hongfang Liu, Larsson Omberg, Meliha Yestigen, Bradley Taylor, James A. Eddy, Justin Guinney, Sean D. Mooney, Thomas Schaffter

CoRR, 2022

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

Performance of Automatic De-identification Across Different Note Types.

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

CoRR, 2021

Transferability of Neural Network-based De-identification Systems.

Kahyun Lee, Nicholas J. Dobbins, Bridget T. McInnes, Meliha Yetisgen, Özlem Uzuner

CoRR, 2021

Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model.

Jimmy Phuong, Elizabeth Zampino, Nicholas J. Dobbins, Juan Espinoza, Daniella Meeker, Heidi Spratt, Charisse R. Madlock-Brown, Nicole Gray Weiskopf, Adam B. Wilcox

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Leaf: an open-source, model-agnostic, data-driven web application for cohort discovery and translational biomedical research.

Nicholas J. Dobbins, Clifford H. Spital, Robert A. Black, Jason M. Morrison, Bas de Veer, Elizabeth Zampino, Robert D. Harrington, Bethene D. Britt, Kari A. Stephens, Adam B. Wilcox, Peter Tarczy-Hornoch, Sean D. Mooney

J. Am. Medical Informatics Assoc., 2020