Extending outbreak investigation with machine learning and graph theory: Benefits of new tools with application to a nosocomial outbreak of a multidrug-resistant organism.
Andrew AtkinsonBenjamin EllenbergerVanja PiezziTanja KasparLuisa Salazar-VizcayaOlga EndrichAlexander Benedikt LeichtleAnurag N MalaniPublished in: Infection control and hospital epidemiology (2022)
We identified risk factors for being a VRE carrier, along with 3 important links with VRE (healthcare personnel, medical devices, patient rooms). Data science is likely to provide a better understanding of outbreaks, but interpretations require data maturity, and potential confounding factors must be considered.
Keyphrases
- multidrug resistant
- machine learning
- healthcare
- big data
- electronic health record
- acinetobacter baumannii
- public health
- klebsiella pneumoniae
- drug resistant
- case report
- pseudomonas aeruginosa
- risk assessment
- methicillin resistant staphylococcus aureus
- cystic fibrosis
- escherichia coli
- human health
- data analysis
- staphylococcus aureus
- neural network
- health information