David Eyre

According to our database, David Eyre authored at least 14 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SignalMC-MED: A Multimodal Benchmark for Evaluating Biosignal Foundation Models on Single-Lead ECG and PPG.

Fredrik K. Gustafsson, Xiao Gu, Mattia Carletti, Patitapaban Palo, David W. Eyre, David A. Clifton

CoRR, March, 2026

MedFeat: Model-Aware and Explainability-Driven Feature Engineering with LLMs for Clinical Tabular Prediction.

Zizheng Zhang, Yiming Li, Justin Xu, Jinyu Wang, Rui Wang, Lei Song, Jiang Bian, David W. Eyre, Jingjing Fu

CoRR, March, 2026

2025

RadEval: A framework for radiology text evaluation.

Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David W. Eyre, Jean-Benoit Delbrouck

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Tree-of-Quote Prompting Improves Factuality and Attribution in Multi-Hop and Medical Reasoning.

Justin Xu, Yiming Li, Zizheng Zhang, Augustine Yui Hei Luk, Mayank Jobanputra, Samarth Oza, Ashley Murray, Meghana Reddy Kasula, Andrew Parker, David W. Eyre

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Deep reinforcement learning for multi-class imbalanced training: applications in healthcare.

Jenny Yang, Rasheed El-Bouri, Odhran O'Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David W. Eyre, Lei Lu, David A. Clifton

Mach. Learn., May, 2024

2023

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning.

Jenny Yang, Andrew A. S. Soltan, David W. Eyre, David A. Clifton

Nat. Mac. Intell., August, 2023

Self-Aware SGD: Reliable Incremental Adaptation Framework for Clinical AI Models.

Anshul Thakur, Jacob Armstrong, Alexey Youssef, David W. Eyre, David A. Clifton

IEEE J. Biomed. Health Informatics, March, 2023

An adversarial training framework for mitigating algorithmic biases in clinical machine learning.

Jenny Yang, Andrew A. S. Soltan, David W. Eyre, Yang Yang, David A. Clifton

npj Digit. Medicine, 2023

Infectious disease surveillance needs for the United States: lessons from COVID-19.

Marc Lipsitch, Mary T. Bassett, John S. Brownstein, Paul Elliott, David Eyre, M. Kate Grabowski, James A. Hay, Michael A. Johansson, Stephen M. Kissler, Daniel B. Larremore, Jennifer Layden, Justin Lessler, Ruth Lynfield, Duncan MacCannell, Lawrence C. Madoff, C. Jessica E. Metcalf, Lauren Ancel Meyers, Sylvia K. Ofori, Celia Quinn, Ana I. Ramos Bento, Nick Reich, Steven Riley, Roni Rosenfeld, Matthew H. Samore, Rangarajan Sampath, Rachel B. Slayton, David L. Swerdlow, Shaun Truelove, Jay K. Varma, Yonatan H. Grad

CoRR, 2023

2021

Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care.

Rasheed el-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton

IEEE J. Biomed. Health Informatics, 2021

Probabilistic transmission models incorporating sequencing data for healthcare-associated Clostridioides difficile outperform heuristic rules and identify strain-specific differences in transmission.

David W. Eyre, Mirjam Laager, A. Sarah Walker, Ben S. Cooper, Daniel J. Wilson

PLoS Comput. Biol., 2021

2020

Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location.

Rasheed el-Bouri, David W. Eyre, Peter J. Watkinson, Tingting Zhu, David A. Clifton

Proceedings of the 37th International Conference on Machine Learning, 2020

2017

BugMat and FindNeighbour: command line and server applications for investigating bacterial relatedness.

Oriol Mazariegos-Canellas, Trien Do, Tim E. A. Peto, David W. Eyre, Anthony Underwood, Derrick W. Crook, David H. Wyllie

BMC Bioinform., 2017

2013

Detection of Mixed Infection from Bacterial Whole Genome Sequence Data Allows Assessment of Its Role in <i>Clostridium difficile</i> Transmission.

David W. Eyre, Madeleine L. Cule, David Griffiths, Derrick W. Crook, Tim E. A. Peto, A. Sarah Walker, Daniel J. Wilson

PLoS Comput. Biol., 2013