Automated Identification of Radiotherapy Courses From US Department of Veterans Affairs Administrative Data

The identified courses were collected into a shared resource to facilitate future VHA-based studies, and our predictive model is available for application to a wider range of non-VHA data sets, particularly those leveraging CMS data.

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Publication Details

Journal
JCO Clinical Cancer Informatics
Published
2025-12-01
DOI
https://doi.org/10.1200/cci-25-00088
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Automated Identification of Radiotherapy Courses From US Department of Veterans Affairs Administrative Data

Cecelia J. Madison, Christopher Anderson, Ryan A. Melson, Evangelia Katsoulakis et al.
JCO Clinical Cancer Informatics
Advanced Radiotherapy Techniques
article

Automated Identification of Radiotherapy Courses From US Department of Veterans Affairs Administrative Data

Cecelia J. Madison, Christopher Anderson, Ryan A. Melson, Evangelia Katsoulakis, W. Max Schreyer, Reid F. Thompson
article en

Abstract

The identified courses were collected into a shared resource to facilitate future VHA-based studies, and our predictive model is available for application to a wider range of non-VHA data sets, particularly those leveraging CMS data.

JCO Clinical Cancer InformaticsVol. 9(9)
Oregon Health & Science University (US), Tampa General Hospital (US), VA Salt Lake City Healthcare System (US), VA Portland Health Care System (US), Portland VA Research Foundation (US)
Openalex Percentile: Top 52%
Advanced Radiotherapy Techniques
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