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Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization

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Biomedical and Computational Biology (BECB 2022)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13637))

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Abstract

Emergency medicine is a discipline that today is increasingly the focus of attention. In the emergency department, to avoid overcrowding, it is important to assess the Length of the Stay (LOS). The length of stay (LOS) is a useful tool to monitor patients and for evaluating the efficiency and quality of the services offered. This study was conducted with the aim of providing LOS for all patients of Emergency Medicine unit of the University Hospital “San Giovanni di Dio e Ruggi d’Aragona” in Salerno (Italy) and the A.O.R.N. “Antonio Cardarelli” in Naples (Italy). Our aim is to evaluate the procedures about LOS in two different hospitals, also comparing the obtained results The analysis was conducted with Multiple Linear Regression. In particular for the second an R2 equal to 0.880 was obtained.

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Authors and Affiliations

  1. Department of Electrical Engineering and Information Technology, University of Study of Naples “Federico II”, Naples, Italy

    Antonio Saverio Valente, Francesco Amato & Maria Romano

  2. Department of Public Health, University of Naples “Federico II”, Naples, Italy

    Marta Rosaria Marino, Giovanni Balato, Enrico Festa & Maria Triassi

  3. A.O.R.N. “A. Cardarelli”, Naples, Italy

    Massimo Majolo & Giuseppe Longo

  4. “San Giovanni di Dio e Ruggi d’Aragona” University Hospital, Salerno, Italy

    Anna Borrelli

  5. Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples “Federico II”, Naples, Italy

    Maria Triassi

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  1. Antonio Saverio Valente
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Correspondence to Marta Rosaria Marino .

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  1. University of Technology Sydney, Sydney, NSW, Australia

    Shiping Wen

  2. Nanchang Hangkong University, Nanchang, China

    Cihui Yang

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Valente, A.S. et al. (2023). Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization. In: Wen, S., Yang, C. (eds) Biomedical and Computational Biology. BECB 2022. Lecture Notes in Computer Science(), vol 13637. Springer, Cham. https://doi.org/10.1007/978-3-031-25191-7_54

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  • DOI: https://doi.org/10.1007/978-3-031-25191-7_54

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