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Development and validation of a clinical risk score to predict the risk of SARS-CoV-2 infection from administrative data: A population-based cohort study from Italy.

Valentina OrlandoFederico ReaLaura SavaréIlaria GuarinoSara MucherinoAlessandro PerrellaUgo TramaEnrico CoscioniEnrica MendittoGiovanni Corrao
Published in: PloS one (2021)
Conditions and diseases making people more vulnerable to SARS-CoV-2 infection were identified by the current study. Our results support decision-makers in identifying high-risk people and adopting of preventive measures to minimize the spread of further epidemic waves.
Keyphrases
  • respiratory syndrome coronavirus
  • electronic health record
  • sars cov
  • big data
  • artificial intelligence