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Characterisation of Clostridium difficile Hospital Ward–Based Transmission Using Extensive Epidemiological Data and Molecular Typing

A. Walker, D. Eyre, D. Wyllie, K. Dingle, R. Harding, L. O'Connor, D. Griffiths, A. Vaughan, J. Finney, M. Wilcox, D. Crook, and T. Peto. PLoS Med, 9 (2): e1001172+ (Feb 7, 2012)
DOI: 10.1371/journal.pmed.1001172

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Carl W David

David W Pao

David W Kuck

Öner Eyrenci

Bodo David

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Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care.R. el Bouri, D. Eyre, P. Watkinson, T. Zhu, and D. Clifton. IEEE J. Biomed. Health Informatics, 25 (1): 289-300 (2021)Viral load in community SARS-CoV-2 cases varies widely and temporallyA. Walker, E. Pritchard, T. House, J. Robotham, P. Birrell, I. Bell, J. Bell, J. Newton, J. Farrar, I. Diamond and 8 other author(s). (October 2020)BugMat and FindNeighbour: command line and server applications for investigating bacterial relatedness.O. Mazariegos-Canellas, T. Do, T. Peto, D. Eyre, A. Underwood, D. Crook, and D. Wyllie. BMC Bioinform., 18 (1): 477 (2017)Probabilistic transmission models incorporating sequencing data for healthcare-associated Clostridioides difficile outperform heuristic rules and identify strain-specific differences in transmission.D. Eyre, M. Laager, A. Walker, B. Cooper, and D. Wilson. PLoS Comput. Biol., (2021)Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location.R. el Bouri, D. Eyre, P. Watkinson, T. Zhu, and D. Clifton. ICML, volume 119 of Proceedings of Machine Learning Research, page 2848-2857. PMLR, (2020)Characterisation of Clostridium difficile Hospital Ward–Based Transmission Using Extensive Epidemiological Data and Molecular TypingA. Walker, D. Eyre, D. Wyllie, K. Dingle, R. Harding, L. O'Connor, D. Griffiths, A. Vaughan, J. Finney, M. Wilcox and 2 other author(s). PLoS Med, 9 (2): e1001172+ (Feb 7, 2012)Detection of Mixed Infection from Bacterial Whole Genome Sequence Data Allows Assessment of Its Role in Clostridium difficile Transmission.D. Eyre, M. Cule, D. Griffiths, D. Crook, T. Peto, A. Walker, and D. Wilson. PLoS Comput. Biol., (2013)Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning.J. Yang, A. Soltan, D. Eyre, and D. Clifton. Nat. Mac. Intell., 5 (8): 884-894 (August 2023)An adversarial training framework for mitigating algorithmic biases in clinical machine learning.J. Yang, A. Soltan, D. Eyre, Y. Yang, and D. Clifton. npj Digit. Medicine, (2023)Self-Aware SGD: Reliable Incremental Adaptation Framework for Clinical AI Models.A. Thakur, J. Armstrong, A. Youssef, D. Eyre, and D. Clifton. IEEE J. Biomed. Health Informatics, 27 (3): 1624-1634 (March 2023)

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Disambiguation of "Eyre, David W."

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Characterisation of Clostridium difficile Hospital Ward–Based Transmission Using Extensive Epidemiological Data and Molecular Typing

Please choose a person to relate this publication to

Carl W David

David W Pao

David W Kuck

Öner Eyrenci

Bodo David

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Eyre, David W."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Characterisation of Clostridium difficile Hospital Ward–Based Transmission Using Extensive Epidemiological Data and Molecular Typing

Please choose a person to relate this publication to

Carl W David

David W Pao

David W Kuck

Öner Eyrenci

Bodo David

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Characterisation of Clostridium difficile Hospital Ward–Based Transmission Using Extensive Epidemiological Data and Molecular Typing