Danne C. Elbers

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Atrial Fibrillation

Natural Language Processing

Machine Learning

Top Venues

J. Am. Medical Informatics Assoc.

Publications

Aruna Mohan, Danne C. Elbers, Or Zilbershot, Fatemeh Afghah, David Vorchheimer
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals. CoRR (2024)
Nhan V. Do, Danne C. Elbers, Nathanael R. Fillmore, Samuel Ajjarapu, Steven J. Bergstrom, John Bihn, June K. Corrigan, Rupali Dhond, Svitlana Dipietro, Arkadiy Dolgin, Theodore C. Feldman, Sergey D. Goryachev, Linden B. Huhmann, Jennifer La, Paul A. Marcantonio, Kyle M. McGrath, Stephen J. Miller, Vinh Q. Nguyen, George R. Schneeloch, Feng-Chi Sung, Kaitlin N. Swinnerton, Amelia H. Tarren, Hannah M. Tosi, Danielle Valley, Austin D. Vo, Cenk Yildirim, Chunlei Zheng, Robert Zwolinski, Gisele A. Sarosy, David Loose, Colleen Shannon, Mary T. Brophy
Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow. MedInfo (2023)
Eric Lin, Robert Zwolinski, Julie Tsu-Yu Wu, Jennifer La, Sergey Goryachev, Linden Huhmann, Cenk Yildrim, David P. Tuck, Danne C. Elbers, Mary T. Brophy, Nhan V. Do, Nathanael R. Fillmore
Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes. Health Informatics J. 29 (3) (2023)
Danne C. Elbers, Nathanael R. Fillmore, Jennifer La, Hannah M. Tosi, Samuel Ajjarapu, Rupali Dhond, Karen Murray, Danielle Valley, Colleen Shannon, Mary T. Brophy, Nhan V. Do
Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE). MedInfo (2023)
Matthew Clark, Christopher Meyer, Jaime Ramos-Cejudo, Danne C. Elbers, Karen E. Pierce-Murray, Rafael Fricks, Gil Alterovitz, Luigi Rao, Mary T. Brophy, Nhan V. Do, Robert L. Grossman, Nathanael R. Fillmore
Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots. MedInfo (2023)
Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds
Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance. ACM Trans. Comput. Heal. 3 (4) (2022)
Austin D. Vo, Danne C. Elbers, Theodore C. Feldman, Paul Marcantonio, Anahit Aleksanyan, Nhan Vo, Feng-Chi Sung, Svitlana Dipietro, Arkadiy Dolgin, Rupali Dhond, Mary Brophy, Nathanael Fillmore, David Kaplan, Nhan V. Do
Better PROSPECT for cancer care: Supporting the generation and delivery of knowledge for decision making at tumor boards with the Precision Oncology System for Prediction, Engineering, and Clinical Translation (PROSPECT). AMIA (2022)
Nathanael R. Fillmore, Danne C. Elbers, Jennifer La, Theodore C. Feldman, Sung Feng-Chi, Robert B. Hall, Vinh Nguyen, Nicholas Link, Robert Zwolinski, Svitlana Dipietro, Stephen J. Miller, Anahit Aleksanyan, Sergey Goryachev, Paul Corcoran, Steven J. Bergstrom, Michael A. Parenteau, Robert S. Sprague, David J. Thornton, Jane A. Driver, Judith M. Strymish, Stewart Evans, Benjamin Colonna, Mary T. Brophy, Nhan V. Do
Corrigendum to: An Application to Support COVID-19 Occupational Health and Patient Tracking at a Veterans Affairs Medical Center. J. Am. Medical Informatics Assoc. 28 (3) (2021)
Joshua R. Minot, Nicholas Cheney, Marc Maier, Danne C. Elbers, Christopher M. Danforth, Peter Sheridan Dodds
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance. CoRR (2021)
Theodore C. Feldman, Nathanael Fillmore, Sandy Chon, Shahin Assefnia, David Loose, Gisele Sarosy, Jennifer La, David Cheng, Frank Meng, Danielle Valley, Robert B. Hall, Paul Corcoran, Robert Zwolinski, Danne C. Elbers, Mary T. Brophy, Nhan V. Do
Veterans Health Administration (VHA) and National Cancer Institute (NCI) Interagency Preliminary Computable Phenotypes for the VA-NCI Interagency Clinical Trial Optimizer for Recruitment and Enrollment (VICTOR-E). AMIA (2020)
Nathanael R. Fillmore, Danne C. Elbers, Jennifer La, Theodore C. Feldman, Sung Feng-Chi, Robert B. Hall, Vinh Nguyen, Nicholas Link, Robert Zwolinski, Svitlana Dipietro, Steven J. Miller, Anahit Aleksanyan, Sergey Goryachev, Paul Corcoran, Steven J. Bergstrom, Michael A. Parenteau, Robert S. Sprague, David J. Thornton, Jane A. Driver, Judith M. Strymish, Stewart Evans, Benjamin Colonna, Mary T. Brophy, Nhan V. Do
An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center. J. Am. Medical Informatics Assoc. 27 (11) (2020)
Danne C. Elbers, Nathanael R. Fillmore, Sung Feng-Chi, Spyridon S. Ganas, Alexander M. Prokhorenkov, Christopher Meyer, Robert B. Hall, Samuel Ajjarapu, Daniel C. Chen, Frank Meng, Robert L. Grossman, Mary T. Brophy, Nhan V. Do
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. Patterns 1 (6) (2020)
Frank Meng, Craig A. Morioka, Danne C. Elbers
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment. CoRR (2019)
Sylvester Sakilay, Danne C. Elbers, Scott Doyle, Luis E. Selva, Brett R. Johnson, Nhan V. Do, Peter L. Elkin
Workflow Pipeline for Medical Image Data Curation and Sharing. AMIA (2019)
Nhan V. Do, Jaime C. Ramos, Nathanael R. Fillmore, Robert L. Grossman, Michael Fitzsimons, Danne C. Elbers, Frank Meng, Brett R. Johnson, Samuel Ajjarapu, Corri L. DeDomenico, Karen E. Pierce-Murray, Robert B. Hall, Andrew F. Do, Kelly Gaynor, Peter L. Elkin, Mary T. Brophy
Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons. MedInfo (2019)
Nhan V. Do, J. J. Bono, Nathanael Fillmore, Andrew J. Zimolzak, Brett R. Johnson, Frank Meng, Danne C. Elbers, Robert B. Hall, Samuel Ajjarapu, Mary T. Brophy, Peter L. Elkin
Development of an AI empowered Electronic Molecular Tumor Board Application Connected Utilizing the SMART on FHIR Framework. AMIA (2018)
Danne C. Elbers, Frank Meng, Scott Doyle, Sylvester Sakilay, Sung Feng-Chi, Brett R. Johnson, Robert B. Hall, Nathanael Fillmore, Daniel Chen, Alexander D. Diehl, Samuel Ajjarapu, Karen E. Pierce-Murray, Corri DeDomenico, Colleen Shannon, Sara Schiller, Nhan V. Do, Peter L. Elkin, Louis D. Fiore, Mary T. Brophy
The Implementation of the Precision Oncology Data Repository in the Veterans Affairs Healthcare System. AMIA (2018)
Samuel Ajjarapu, Frank Meng, Danne C. Elbers, Nhan V. Do, Robert B. Hall, Karen E. Pierce-Murray, Luis E. Selva, Beth Katcher, Brett R. Johnson, Andrew J. Zimolzak, Corri DeDomenico, Mary Brophy, Louis D. Fiore
Releasing De-Identified Clinical, Imaging, and Genomic Data from the VA to External Repositories for the APOLLO Network. AMIA (2017)
Ryan C. Cornia, Nilla Majahalme, Danne C. Elbers, Svitlana Dipietro, Brian R. Ivie, Brad Adams, Ramana Seerapu, Valmeek Kudesia, Scott L. DuVall
ProjectFlow: Configurable Clinical Trial Management with Enterprise Data Integration and Point-of-Care Study Support. AMIA (2017)
Frank Meng, Craig A. Morioka, Weixia Yu, Nilla Majahalme, Danne C. Elbers, Sergey Goryachev, Nhan V. Do
An NLP Tool for Boosting Annotation Capture from Clinical Documents. AMIA (2017)
Danne C. Elbers, Robert B. Hall, Beth Katcher, Svitlana Dipietro, Sung Feng-Chi, Sergey Goryachev, Karen E. Pierce-Murray, Corri DeDomenico, Lauren Macmullen, Helene Garcon, Nhan V. Do, Louis D. Fiore
Implementation of an Informatics Solution to Improve Management of Pathology Specimens for the VA Precision Oncology Program. AMIA (2017)
Nhan V. Do, Karen E. Pierce-Murray, Edmund C. Peirce, Corri DeDomenico, Frank Meng, Danne C. Elbers, Beth Katcher, Robert B. Hall, Andrew J. Zimolzak, Samuel Ajjarapu, Colleen Shannon, Sara Turek, Brett R. Johnson, Nathanael Fillmore, Mary Brophy, Louis D. Fiore
The Development of the Research Precision Oncology Program Data Repository (PODR) in the Veterans Affairs Healthcare System. AMIA (2017)