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Search results (19)

« Back to Publications

Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: A Bayesian latent class analysis

Wei J. et al, (2025), PLOS Digital Health, 4, e0000936 - e0000936

Transformers and large language models are efficient feature extractors for electronic health record studies

Yuan K. et al, (2025), Communications Medicine, 5

Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections

Yuan K. et al, (2025), Journal of Infection, 90, 106388 - 106388

Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: a Bayesian latent class analysis

Wei J. et al, (2025)

Interplay between C-reactive protein responses and antibiotic prescribing in suspected bloodstream infections

Gu Q. et al, (2024)

Predicting individual patient and hospital-level discharge using machine learning

Wei J. et al, (2024), Communications Medicine, 4

Transformers and large language models are efficient feature extractors for electronic health record studies

Yuan K. et al, (2024)

Distinct patterns of vital sign and inflammatory marker responses in adults with suspected bloodstream infection

Gu Q. et al, (2024), Journal of Infection, 88, 106156 - 106156

Leveraging transformers and large language models with antimicrobial prescribing data to predict sources of infection for electronic health record studies

Yuan K. et al, (2024)

Machine learning to predict antibiotic susceptibility in Enterobacterales bloodstream infections compared to clinician prescribing

Yuan K. et al, (2024)

Changes in the investigation and management of suspected myocardial infarction and injury during COVID-19: a multi-centre study using routinely collected healthcare data.

Chammas L. et al, (2024), Frontiers in cardiovascular medicine, 11

Defining normal inflammatory marker and vital sign responses to suspected bloodstream infection in adults with positive and negative blood cultures

Gu Q. et al, (2023)

Improving patient flow through hospitals with machine learning based discharge prediction

Wei J. et al, (2023)

TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors

Hoffmann M. et al, (2023), TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors

TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors

Hoffmann M. et al, (2022), GigaScience, 12

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