Nathanael R. Fillmore
People / Danne Elbers
DE
Collaborator

Danne Elbers

Harvard Medical School / Boston University

17 shared works · collaborating since 2019

Shared publications

2026

Rule-based natural language processing to extract clinical trial and research study enrollment history from unstructured notes.

Sergey D. Goryachev†, Julie Tsu-Yu Wu†, Eric Lin†, Daphne R. Friedman, Robert Zwolinski, Rupali Dhond, Danne C. Elbers, Jennifer La, Cenk Yildirim, June K. Corrigan, Daniel C. R. Chen, Mary T. Brophy, Nhan V. Do‡, Nathanael R. Fillmore‡† Equal first authorship · ‡ Equal senior authorship

Health Informatics Journal32(1), 14604582261430614
U.S. Veterans and VA Data Electronic Health Records Natural Language Processing Rule-Based Algorithms Clinical Notes
2025

Rapid Support and Implementation of an Application for the Prediction Augmented Screening Initiative (PASI) Planning Phase Through the Enabling Technologies for Rapid Learning Health Systems Platform (ENTHRALL) at the Department of Veterans Affairs (VA).

Hannah M. Tosi, Chunlei Zheng, Amelia H. Tarren, Meghana Yellanki, Stephen J. Miller, Oleg V. Soloviev, June K. Corrigan, George R. Schneeloch, Hormuzd A. Katki, Lauren E. Kearney, Tanner J. Caverly, Nichole T. Tanner, Renda Soylemez Wiener, Mary Brophy, Nathanael R. Fillmore, Nhan V. Do, Danne C. Elbers

Cancer Informatics24, 11769351251389781
U.S. Veterans and VA Data Electronic Health Records Lung Cancer Natural Language Processing Learning Health Systems
2025

Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction tool.

Kaitlin Swinnerton†, Nathanael R. Fillmore†, Austin Vo, Jennifer La, Danne Elbers, Mary Brophy, Nhan V. Do, Paul A. Monach‡, Westyn Branch-Elliman‡† Equal first authorship · ‡ Equal senior authorship

eClinicalMedicine81, 103114
U.S. Veterans and VA Data Retrospective Cohort Study COVID-19 Severe COVID-19 Predictive Modeling
2024

Brain tumors in United States military veterans.

John R. Bihn†, Gino Cioffi†, Kristin A. Waite, Carol Kruchko, Corey Neff, Mackenzie Price, Quinn T. Ostrom, Kaitlin N. Swinnerton, Danne C. Elbers, Michael A. Mooney, Jacob Rachlin, Thor D. Stein, Mary T. Brophy, Nhan V. Do, Ryan E. Ferguson, David S. Priemer, Daniel P. Perl, Richard A. Hickman, Burt Nabors, Jennifer Rusiecki, Jill S. Barnholtz-Sloan‡, Nathanael R. Fillmore‡† Equal first authorship · ‡ Equal senior authorship

Neuro-oncology26(2), 387-396
U.S. Veterans and VA Data Primary Brain Tumors Overall Survival VA Cancer Registry Epidemiology
2024

Matching Patients to Accelerate Clinical Trials (MPACT): Enabling Technology for Oncology Clinical Trial Workflow.

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

Studies in Health Technology and Informatics310, 1086-1090
U.S. Veterans and VA Data Electronic Health Records Natural Language Processing Clinical Trial Enrollment Patient Screening Workflow
2023

Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons.

Kyle M. Hernandez†, Aarti Venkat†, Danne C. Elbers†, John R. Bihn, Mary T. Brophy, Nhan V. Do, Jennifer La, Qiong Liu, Andrew Prokhorenkov, Noah Metoki-Shlubsky, Feng-Chi Sung, Channing J. Paller‡, Nathanael R. Fillmore‡, Robert L. Grossman‡† Equal first authorship · ‡ Equal senior authorship

Cold Spring Harbor Molecular Case Studies9(4)
U.S. Veterans and VA Data Retrospective Cohort Study Prostate Cancer Metastatic Castration-Resistant Prostate Cancer Precision Oncology
2023

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.

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‡† Equal first authorship · ‡ Equal senior authorship

Health Informatics Journal29(3), 14604582231198021
U.S. Veterans and VA Data Electronic Health Records Natural Language Processing Machine Learning PD-L1 Expression
2023

Epidemiology of Cancer-Associated Venous Thromboembolism in Patients With Solid and Hematologic Neoplasms in the Veterans Affairs Health Care System.

Kylee L. Martens†, Ang Li†, Jennifer La, Sarah B. May, Kaitlin N. Swinnerton, Hannah Tosi, Danne C. Elbers, Nhan V. Do, Mary T. Brophy, J. Michael Gaziano, Saran Lotfollahzadeh, Vipul Chitalia, Katya Ravid, Nathanael R. Fillmore† Equal first authorship

JAMA Network Open6(6), e2317945
U.S. Veterans and VA Data Retrospective Cohort Study Electronic Health Records Cancer-Associated Thrombosis Health Disparities
2020

An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center.

Nathanael R. Fillmore†, Danne C. Elbers†, Jennifer La, Theodore C. Feldman, Feng-Chi Sung, Robert B. Hall, Vinh Nguyen, Nicholas Link, Robert Zwolinski, Svitlana Dipietro, Steven J. Miller, Anahit Aleksanyan, Sergey D. 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† Equal first authorship

Journal of the American Medical Informatics Association27(11), 1716-1720
COVID-19 Occupational Health Patient Tracking Contact Tracing Health Informatics
2019

Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.

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

Studies in Health Technology and Informatics264, 1453
U.S. Veterans and VA Data Lung Cancer Machine Learning Predictive Modeling Overall Survival
2019

The Veterans Precision Oncology Data Commons: Transforming VA data into a national resource for research in precision oncology.

Nhan Do, Robert Grossman, Theodore Feldman, Nathanael Fillmore, Danne Elbers, David Tuck, Rupali Dhond, Luis Selva, Frank Meng, Michael Fitzsimons, Samuel Ajjarapu, Siamack Ayandeh, Robert Hall, Stephanie Do, Mary Brophy

Seminars in Oncology46(4-5), 314-320
U.S. Veterans and VA Data Electronic Health Records Precision Oncology Data Sharing Platform Clinical Informatics