Patrick T. Ellinor
Orcid: 0000-0002-2067-0533
According to our database1,
Patrick T. Ellinor
authored at least 13 papers
between 2020 and 2025.
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Bibliography
2025
Unsupervised deep learning of electrocardiograms enables scalable human disease profiling.
npj Digit. Medicine, 2025
2024
Culturally responsive strategies and practical considerations for live tissue studies in Māori participant cohorts.
Frontiers Res. Metrics Anal., 2024
2023
CoRR, 2023
2022
Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk.
npj Digit. Medicine, 2022
npj Digit. Medicine, 2022
Cohort design and natural language processing to reduce bias in electronic health records research.
npj Digit. Medicine, 2022
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups.
Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022
Proceedings of the AMIA 2022, 2022
2021
Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction.
Patterns, 2021
Interactive Model Report Card for Visual Exploration of Performance Heterogeneity and Biases on Population Subgroups.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
How Robust is Your Risk Model? Assessing Subpopulation Performance Heterogeneity in Risk Models Based on Discrimination, Calibration, and Fairness Measures: An Atrial Fibrillation Use Case.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020