Nicholas J. Dobbins

发表

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

Kari A. Stephens, Robert A. Black, Sean D. Mooney, 2019, J. Am. Medical Informatics Assoc..

Performance of Automatic De-identification Across Different Note Types pdf

Özlem Uzuner, Meliha Yetisgen-Yildiz, Kahyun Lee, 2021, ArXiv.

Transferability of Neural Network-based De-identification Systems pdf

Ozlem Uzuner, Meliha Yetisgen, Kahyun Lee, 2021, ArXiv.

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

James A. Eddy, Nicholas J. Dobbins, S. Mooney, 2022, ArXiv.

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

Nicholas J. Dobbins, A. Wilcox, D. Meeker, 2021, AMIA.

Variable Clinical Presentation of Shwachman-Diamond Syndrome: Update From the North-American Shwachman-Diamond Syndrome Registry.

Nicholas J. Dobbins, A. Shimamura, K. Myers, 2012 .

Transferability of Neural Network-based De-identification Systems

Bridget T. McInnes, Nicholas J. Dobbins, Ozlem Uzuner, 2021, ArXiv.

Transferability of neural network clinical deidentification systems

Özlem Uzuner, Meliha Yetisgen, Kahyun Lee, 2021, J. Am. Medical Informatics Assoc..

Leveraging Natural Language Processing to Augment Structured Social Determinants of Health Data in the Electronic Health Record

Nicholas J. Dobbins, Meliha Yetisgen-Yildiz, K. Lybarger, 2022, J. Am. Medical Informatics Assoc..

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

Nicholas J. Dobbins, Özlem Uzuner, R. Harrington, 2023, ArXiv.

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

Nicholas J. Dobbins, Bin Han, Ozlem Uzuner, 2023, CLINICALNLP.