Differentiating patients admitted primarily due to coronavirus disease 2019 (COVID-19) from those admitted with incidentally detected severe acute respiratory syndrome corona-virus type 2 (SARS-CoV-2) at hospital admission: A cohort analysis of German hospital records.
Ralf StroblMartin MisailovskiSabine BlaschkeMilena BerensAndreas BesteManuel KroneMichael EisenmannSina EbertAnna HoehnJuliane MeesMartin KaaseDhia Joseph ChackalackalDaniela KollerJulia ChrampanisJana-Michelle KosubNikita SrivastavaFady AlbashitiUwe GroßAndreas FischerEva GrillSimone ScheithauerPublished in: Infection control and hospital epidemiology (2024)
We propose 2 predictive algorithms based on routine clinical data that differentiate primary COVID-19 from incidental SARS-CoV-2 infection. These algorithms can provide a precise surveillance tool that can contribute to pandemic preparedness. They can easily be modified to be used in future pandemic, epidemic, and endemic situations all over the world.
Keyphrases
- coronavirus disease
- sars cov
- respiratory syndrome coronavirus
- machine learning
- public health
- healthcare
- deep learning
- acute care
- emergency department
- adverse drug
- big data
- electronic health record
- clinical practice
- current status
- magnetic resonance imaging
- contrast enhanced
- magnetic resonance
- artificial intelligence
- data analysis