Danne C. Elbers

Orcid: 0000-0002-0454-0173

According to our database1, Danne C. Elbers authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals.
CoRR, 2024

2023
Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes.
Health Informatics J., July, 2023

Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE).
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023


Transfer Learning for Mortality Prediction in Non-Small Cell Lung Cancer with Low-Resolution Histopathology Slide Snapshots.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022
Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance.
ACM Trans. Comput. Heal., 2022

Better PROSPECT for cancer care: Supporting the generation and delivery of knowledge for decision making at tumor boards with the Precision Oncology System for Prediction, Engineering, and Clinical Translation (PROSPECT).
Proceedings of the AMIA 2022, 2022

2021
Corrigendum to: An Application to Support COVID-19 Occupational Health and Patient Tracking at a Veterans Affairs Medical Center.
J. Am. Medical Informatics Assoc., 2021

Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance.
CoRR, 2021

2020
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database.
Patterns, 2020

An application to support COVID-19 occupational health and patient tracking at a Veterans Affairs medical center.
J. Am. Medical Informatics Assoc., 2020

Veterans Health Administration (VHA) and National Cancer Institute (NCI) Interagency Preliminary Computable Phenotypes for the VA-NCI Interagency Clinical Trial Optimizer for Recruitment and Enrollment (VICTOR-E).
Proceedings of the AMIA 2020, 2020

2019
Generating Information Extraction Patterns from Overlapping and Variable Length Annotations using Sequence Alignment.
CoRR, 2019

Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Workflow Pipeline for Medical Image Data Curation and Sharing.
Proceedings of the AMIA 2019, 2019

2018

Development of an AI empowered Electronic Molecular Tumor Board Application Connected Utilizing the SMART on FHIR Framework.
Proceedings of the AMIA 2018, 2018

2017
An NLP Tool for Boosting Annotation Capture from Clinical Documents.
Proceedings of the AMIA 2017, 2017

Implementation of an Informatics Solution to Improve Management of Pathology Specimens for the VA Precision Oncology Program.
Proceedings of the AMIA 2017, 2017

The Development of the Research Precision Oncology Program Data Repository (PODR) in the Veterans Affairs Healthcare System.
Proceedings of the AMIA 2017, 2017

ProjectFlow: Configurable Clinical Trial Management with Enterprise Data Integration and Point-of-Care Study Support.
Proceedings of the AMIA 2017, 2017

Releasing De-Identified Clinical, Imaging, and Genomic Data from the VA to External Repositories for the APOLLO Network.
Proceedings of the AMIA 2017, 2017


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