Use of artificial intelligence to study the hospitalization of women undergoing caesarean section.

Journal: BMC public health
PMID: 39833764

Abstract

OBJECTIVE: The incidence of caesarean sections (CSs) has increased significantly in recent years, especially in developed countries. This study aimed to identify the factors that most influence the length of hospital stay (LOS) after a CS, using data from 9,900 women who underwent CS at the "Federico II" University Hospital of Naples between 2014 and 2021.

Authors

  • Arianna Scala
    Department of Public Health, University of Naples "Federico II", 80100 Naples, Italy.
  • Giuseppe Bifulco
    Department of Neuroscience, Reproductive Science and Dentistry, University of Naples Federico II, Naples, Italy.
  • Anna Borrelli
    San Giovanni di Dio e Ruggi d'Aragona" University Hospital, Salerno, Italy.
  • Rosanna Egidio
    "Federico II" University Hospital, Naples, 80131, Italy.
  • Maria Triassi
    Department of Public Health of the University Hospital, University of Naples Federico II, Naples, Italy.
  • Giovanni Improta
    Department of Public Health, University of Naples "Federico II", Naples, Italy.

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