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Publications

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

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

Corrigendum to “No evidence of difference in mortality with amoxicillin versus co-amoxiclav for hospital treatment of community-acquired pneumonia” [J Infect 88 (2024) 106161]

Wei J. et al, (2024), Journal of Infection, 89, 106361 - 106361

Predicting individual patient and hospital-level discharge using machine learning

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

'Bloodstream infection': A valuable concept we should keep in our toolbox.

Danielsen AS. et al, (2024), The Journal of infection, 89

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

Yuan K. et al, (2024)

No evidence of difference in mortality with amoxicillin versus co-amoxiclav for hospital treatment of community-acquired pneumonia

Wei J. et al, (2024), Journal of Infection, 88, 106161 - 106161

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)

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)

Assessment of an institutional guideline for vancomycin dosing and identification of predictive factors associated with dose and drug trough levels

Gu Q. et al, (2022), Journal of Infection, 85, 382 - 389

Assessment of a vancomycin dosing guideline and identification of predictive factors associated with dose and drug trough levels

Gu Q. et al, (2022)