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Machine learning to predict risk for community-onset Staphylococcus aureus infections in children living in southeastern United States.
- Source :
- PLoS ONE, Vol 18, Iss 9, p e0290375 (2023)
- Publication Year :
- 2023
- Publisher :
- Public Library of Science (PLoS), 2023.
-
Abstract
- Staphylococcus aureus (S. aureus) is known to cause human infections and since the late 1990s, community-onset antibiotic resistant infections (methicillin resistant S. aureus (MRSA)) continue to cause significant infections in the United States. Skin and soft tissue infections (SSTIs) still account for the majority of these in the outpatient setting. Machine learning can predict the location-based risks for community-level S. aureus infections. Multi-year (2002-2016) electronic health records of children
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 18
- Issue :
- 9
- Database :
- Directory of Open Access Journals
- Journal :
- PLoS ONE
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6dc7543877284de2a56d71868c8d322c
- Document Type :
- article
- Full Text :
- https://doi.org/10.1371/journal.pone.0290375&type=printable