Jacqueline Michelle Beinecke

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 5

Top Topics

Electronic Health Records

Clinical Decision Making

Top Venues

IEEE J. Biomed. Health Informatics

Publications

Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting, Carolin Müller, Henning Dathe, Tim Seidler, Nicolai Spicher, Anne-Christin Hauschild
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, Jacqueline Michelle Beinecke, Dominik Heider, Richard Röttger, Heimo Müller, Jan Baumbach, Bastian Pfeifer
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning. CD-MAKE (2023)
Jacqueline Michelle Beinecke, Patrick Anders, Tino Schurrat, Dominik Heider, Markus Luster, Damiano Librizzi, Anne-Christin Hauschild
Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records. Comput. Biol. Medicine 143 (2022)
Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting, Carolin Müller, Henning Dathe, Tim Seidler, Nicolai Spicher, Anne-Christin Hauschild
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. CoRR (2022)
Jacqueline Michelle Beinecke, Dominik Heider
Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making. BioData Min. 14 (1) (2021)