Nathanael R. Fillmore
Topics / Clinical Notes
Topic

Clinical Notes

Fillmore has developed and validated diverse natural language processing tools to convert unstructured clinical notes into standardized, actionable data. His work focuses on the automated extraction of critical diagnostic markers, such as PD-L1 expression and Gleason scores, as well as the identification of treatment histories and disease staging in oncology and vascular medicine. Additionally, he has explored the use of sentiment analysis to quantify the emotional tone of medical records and its correlation with objective clinical outcomes.

U.S. Veterans and VA Data 7 Natural Language Processing 6 Electronic Health Records 6 Health Informatics 4 Radiology and Pathology Reports 3 Model Validation 3 Rule-Based Algorithms 3 VA Cancer Registry 3 Multiple Myeloma 2 External Validation 1 Cancer Patients 1 Advanced Stage Malignancy 1

Publications (7)

2026

Development and validation of venous thromboembolism-bidirectional encoder representations from transformers (VTE-BERT) natural language processing model.

Omid Jafari, Shengling Ma, Barbara D. Lam, Jun Y. Jiang, Emily Zhou, Mrinal Ranjan, Justine Ryu, Raka Bandyo, Arash Maghsoudi, Bo Peng, Christopher I. Amos, Abiodun Oluyomi, Nathanael R. Fillmore, Jennifer La‡, Ang Li‡‡ Equal senior authorship

Journal of Thrombosis and Haemostasis24(7), 2522-2531
Natural Language Processing External Validation Clinical Notes Radiology and Pathology Reports Cancer Patients
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

Automated Extraction of Imaging and Pathology Data From Diverse Prostate Cancer Electronic Records.

John M. Culnan, Sergey D. Goryachev, John R. Bihn, Grace Lee, Daniel C. R. Chen, Oleg Soloviev, Robert Zwolinski, Karlynn N. Dulberger, Nhan V. Do, Channing J. Paller, Matthew R. Cooperberg‡, Nathanael R. Fillmore‡‡ Equal senior authorship

JCO Clinical Cancer Informatics9, e2500085
U.S. Veterans and VA Data Electronic Health Records Prostate Cancer Natural Language Processing VA Cancer Registry
2024

Natural Language Processing Algorithm to Extract Multiple Myeloma Stage From Oncology Notes in the Veterans Affairs Healthcare System.

Sergey D. Goryachev†, Cenk Yildirim†, Clark DuMontier†, Jennifer La†, Mayuri Dharne, J. Michael Gaziano, Mary T. Brophy, Nikhil C. Munshi, Jane A. Driver, Nhan V. Do‡, Nathanael R. Fillmore‡† Equal first authorship · ‡ Equal senior authorship

JCO Clinical Cancer Informatics8, e2300197
U.S. Veterans and VA Data Electronic Health Records Multiple Myeloma Natural Language Processing VA Cancer Registry
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

Validation of algorithms to select patients with multiple myeloma and patients initiating myeloma treatment in the national Veterans Affairs Healthcare System.

Jennifer La†, Clark DuMontier†, Hamza Hassan, Maya Abdallah, Camille Edwards, Karina Verma, Grace Ferri, Mayuri Dharne, Cenk Yildirim, June Corrigan, J. Michael Gaziano, Nhan V. Do, Mary T. Brophy, Jane A. Driver, Nikhil C. Munshi, Nathanael R. Fillmore† Equal first authorship

Pharmacoepidemiology and Drug Safety32(5), 558-566
U.S. Veterans and VA Data Electronic Health Records Multiple Myeloma VA Cancer Registry Algorithm Validation