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Regression and Machine Learning Algorithm to Study the LOS of Patients Undergoing Hip Surgery

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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

Today, fracture surgery is a key part of a hospital’s orthopaedic department and usually involves significant clinical cost implications. The evaluation of hospitalization time for subjects suffering of hip fracture assumes a key role in the last years because it can affect the postoperative course and recovery of the patient. Length of stay (LOS) is a useful tool for monitoring patients and useful for hospital administrators to assess the efficiency of the hospital. Our aim is to investigate the LOS prediction for all patients with hip fracture hospitalized in two hospitals located in Campania Region, also comparing the obtained results. Different machine learning models and data analysis methodologies have been applied on a cohort of patients hospitalized in two different hospitals, also evaluating them in terms of accuracy and error.

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Authors and Affiliations

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

    Arianna Scala, Marta Rosaria Marino, Francesco Smeraglia & Morena Anna Basso

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

    Massimo Majolo & Giuseppe Russo

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

    Francesco Bruno & Anna Borrelli

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

    Alfonso Maria Ponsiglione

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  1. Arianna Scala
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  2. Marta Rosaria Marino
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  3. Massimo Majolo
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  4. Giuseppe Russo
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  5. Francesco Smeraglia
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  6. Morena Anna Basso
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  7. Francesco Bruno
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  9. Alfonso Maria Ponsiglione
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Correspondence to Marta Rosaria Marino .

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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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Scala, A. et al. (2023). Regression and Machine Learning Algorithm to Study the LOS of Patients Undergoing Hip Surgery. 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_55

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  • DOI: https://doi.org/10.1007/978-3-031-25191-7_55

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