Nathanael R. Fillmore
Topics / Rule-Based Algorithms
Topic

Rule-Based Algorithms

Fillmore has developed rule-based natural language processing algorithms to extract structured clinical data from unstructured electronic health records across diverse therapeutic areas. His work has demonstrated high precision in identifying oncology staging, prostate cancer diagnostics, and clinical trial enrollment history, as well as detecting immune-related adverse events. These tools facilitate the systematic recovery of critical patient phenotyping data to support large-scale population health research.

U.S. Veterans and VA Data 4 Natural Language Processing 4 Electronic Health Records 3 Clinical Notes 3 Health Informatics 3 VA Cancer Registry 2 Model Validation 2 Radiology and Pathology Reports 2 Clinical Trial Enrollment 1 Prostate Cancer 1 Magnetic Resonance Imaging 1 Multiple Myeloma 1

Publications (5)

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