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Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48067, first published .
3D molecular network structure with glowing nodes and connections

Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study

Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learning Methods With Network Features: Retrospective Development Study

Journals

  1. Gastaldi S, Tartari E, Satta G, Allegranzi B. Advancing infection prevention and control through artificial intelligence: a scoping review of applications, barriers, and a decision-support checklist. Antimicrobial Stewardship & Healthcare Epidemiology 2025;5(1) View
  2. Sirago G, Zotti F, Mele F, Misceo F, Solarino B, Dell’Erba A, Ferorelli D. AI for Hospital Infection Prevention and Control: Real-World Implementation, Impact, and the Gap Beyond Model Development. Journal of Hospital Infection 2026 View

Conference Proceedings

  1. Khanghah A, Chavoshian S, Fernie G, Fekr A. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Early Prediction of Positive Hospital-Acquired MRSA Screening using Deep Learning on Vital Signs Time Series View