Development of a fully automated surgical site infection detection algorithm for use in cardiac and orthopedic surgery research.
Hiroyuki SuzukiGosia S CloreEli N PerencevichStacey M Hockett-SherlockMichihiko GotoRajeshwari NairWestyn Branch-EllimanKelly K RichardsonKalpana GuptaBrice F BeckBruce AlexanderErin C BalkenendeMarin L SchweizerPublished in: Infection control and hospital epidemiology (2021)
Considering the low prevalence rate of SSIs, our algorithms were successful in identifying a majority of patients with a true SSI while simultaneously reducing false-positive cases. As a next step, validation of these algorithms in different hospital systems with EMR will be needed.
Keyphrases
- surgical site infection
- machine learning
- deep learning
- risk factors
- left ventricular
- loop mediated isothermal amplification
- healthcare
- acute care
- real time pcr
- label free
- adverse drug
- heart failure
- high throughput
- coronary artery disease
- percutaneous coronary intervention
- acute coronary syndrome
- atrial fibrillation
- single cell