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Plos One
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January 25, 2023
Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs
Danne C Elbers, Jennifer La, Joshua R Minot, et al.
Studies in Health Technology and Informatics
|
January 25, 2024
Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE)
Danne C Elbers, Nathanael R Fillmore, Jennifer La, et al.
Studies in Health Technology and Informatics
|
January 25, 2024
Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots
Matthew Clark, Christopher Meyer, Jaime Ramos-Cejudo, et al.
Health Informatics Journal
|
August 28, 2023
Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes
Eric Lin, Robert Zwolinski, Julie Tsu-Yu Wu, et al.
JAMA Network Open
|
June 12, 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, et al.
Patterns (New York, N.Y.)
|
November 18, 2020
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database
Danne C Elbers, Nathanael R Fillmore, Feng-Chi Sung, et al.
Cold Spring Harbor Molecular Case Studies
|
December 5, 2023
Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons
Kyle M Hernandez, Aarti Venkat, Danne C Elbers, et al.
Health Informatics Journal
|
March 30, 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, et al.
Studies in Health Technology and Informatics
|
August 24, 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, et al.
Cancer Informatics
|
November 24, 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, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Plos One
|
January 25, 2023
Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs
Danne C Elbers, Jennifer La, Joshua R Minot, et al.
Studies in Health Technology and Informatics
|
January 25, 2024
Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE)
Danne C Elbers, Nathanael R Fillmore, Jennifer La, et al.
Studies in Health Technology and Informatics
|
January 25, 2024
Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots
Matthew Clark, Christopher Meyer, Jaime Ramos-Cejudo, et al.
Health Informatics Journal
|
August 28, 2023
Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes
Eric Lin, Robert Zwolinski, Julie Tsu-Yu Wu, et al.
JAMA Network Open
|
June 12, 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, et al.
Patterns (New York, N.Y.)
|
November 18, 2020
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database
Danne C Elbers, Nathanael R Fillmore, Feng-Chi Sung, et al.
Cold Spring Harbor Molecular Case Studies
|
December 5, 2023
Prostate cancer patient stratification by molecular signatures in the Veterans Precision Oncology Data Commons
Kyle M Hernandez, Aarti Venkat, Danne C Elbers, et al.
Health Informatics Journal
|
March 30, 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, et al.
Studies in Health Technology and Informatics
|
August 24, 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, et al.
Cancer Informatics
|
November 24, 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, et al.
Page
of 2