This paper is in the following e-collection/theme issue:

Foundations of AI (59) Applications of AI (295)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48067, first published .
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

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

Authors of this article:

Methun Kamruzzaman1 Author Orcid Image ;   Jack Heavey1 Author Orcid Image ;   Alexander Song1 Author Orcid Image ;   Matthew Bielskas1 Author Orcid Image ;   Parantapa Bhattacharya1 Author Orcid Image ;   Gregory Madden2 Author Orcid Image ;   Eili Klein3, 4 Author Orcid Image ;   Xinwei Deng5 Author Orcid Image ;   Anil Vullikanti1, 6 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

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

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