An open natural language processing development framework for EHR-based clinical research: a case demonstration using the national COVID cohort collaborative (N3C)

Liu, Sijia, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Robert Miller, Andrew Williams, et al. 2021. “An Open Natural Language Processing Development Framework for EHR-Based Clinical Research: A Case Demonstration Using the National COVID Cohort Collaborative (N3C)”. ArXiv Preprint ArXiv:2110.10780.

Last updated on 10/26/2023

Recent Publications

Magnetic resonance imaging detection of deep gray matter iron deposition in multiple sclerosis: A systematic review
An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)
Deep learning combining FDG-PET and neurocognitive data accurately predicts MCI conversion to Alzheimer s dementia 3-year post MCI diagnosis
Incidence of new-onset hypertension post—COVID-19: comparison with influenza
Machine learning prediction of pathological complete response and overall survival of breast cancer patients in an underserved inner-city population
Deep learning applications to breast cancer detection by magnetic resonance imaging: a literature review

Tim Q Duong, Ph.D.

Professor, Department of Radiology
Professor, Department of Biochemistry
Professor, Department of Ophthalmology & Visual Sciences
Professor, Dominick P. Purpura Department of Neuroscience
Vice Chair for Research Department of Radiology

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Montefiore Medical Center
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