Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records
#5PRI RANKED
Most Cited Paper
in Antimicrobial Resistance in Staphylococcus
18 Months Post-Publication
Class of 2026
“Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/antimicrobial-resistance-in-staphylococcus/2026/
Topics
Methicillin-resistant Staphylococcus aureus (MRSA) · PyTorch_EHR · electronic health record (EHR) time-series data · MRSA culture positivity prediction · deep learning · logistic regression · light gradient boost machine (LGBM) · AUROC · Memorial Hermann Hospital System · Medical Information Mart for Intensive Care (MIMIC)-IV · external validation · risk stratification · antimicrobial therapy optimization · personalized prediction
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Antimicrobial Resistance in Staphylococcus Papers, Class of 2026. https://pri.pepkio.com/top-papers/antimicrobial-resistance-in-staphylococcus/2026. Accessed 2026-07-22. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459