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.
Various artificial intelligence models were employed to analyze the relationships between the LOS and a set of independent variables, including […]
Use of artificial intelligence to study the hospitalization of women undergoing caesarean section
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