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Cholecystectomy and appendectomy are the most prevalent operations in emergency surgery. Because they involve a variety of surgical specializations and account for a sizable portion of surgeries performed in a hospital, emergency surgeries are particularly significant procedures in the health care industry. This will be addressed in terms of managing the resources that are used to support hospital costs. The length of the average hospital stay, or LOS, is a crucial factor in the efficient management of hospitals and the assistance it gives to clinicians. Forecasting LOS for the entire subject population following appendectomy and cholecystectomy at Naples’ University Hospital “Federico II” was the goal of this study.

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Use of Machine Learning to Study Hospitalization for Emergency Interventions for Appendectomy and Cholecystectomy

  • 会议论文

  • 发表日期：

    2025年

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  • Marta Rosaria Marino,
  • Maria Triassi,
  • Giovanni Improta

摘要

Cholecystectomy and appendectomy are the most prevalent operations in emergency surgery. Because they involve a variety of surgical specializations and account for a sizable portion of surgeries performed in a hospital, emergency surgeries are particularly significant procedures in the health care industry. This will be addressed in terms of managing the resources that are used to support hospital costs. The length of the average hospital stay, or LOS, is a crucial factor in the efficient management of hospitals and the assistance it gives to clinicians. Forecasting LOS for the entire subject population following appendectomy and cholecystectomy at Naples’ University Hospital “Federico II” was the goal of this study.