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Regression Model to Predict LOS in General Medicine Department: A Bicentric Study

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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

The Department of General Medicine deals with patients suffering from various acute or chronic pathologies coming from home, from the emergency room or from specialized departments. 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 who were admitted in the General Medicine Department at 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 concerns the comparison between the LOS estimation in two different hospitals located in Campania Region. The analysis was conducted with Multiple Linear Regression analysis, in particular for the former an R2 equal to 0.764 was obtained and for the latter a value of R2 equal to 0.712.

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Authors and Affiliations

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

    Emma Montella & Marta Rosaria Marino

  2. University of Rome “La Sapienza”, Rome, Italy

    Cristiana Giglio & Maria Triassi

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

    Giuseppe Longo & Eliana Raiola

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

    Maria Triassi

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

    Anna Borrelli

  6. Department of Electrical Engineering and Information Technologies, University of Naples “Federico II”, Naples, Italy

    Antonio Saverio Valente

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  1. Emma Montella
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Corresponding author

Correspondence to Marta Rosaria Marino .

Editor information

Editors and Affiliations

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

    Shiping Wen

  2. Nanchang Hangkong University, Nanchang, China

    Cihui Yang

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Montella, E. et al. (2023). Regression Model to Predict LOS in General Medicine Department: A Bicentric Study. 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_56

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  • DOI: https://doi.org/10.1007/978-3-031-25191-7_56

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