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Investigating the impact of age, gender, and comorbid conditions on the prolonged length of stay after endarterectomy

Authors:

Chiara De Lauri,

Teresa Angela Trunfio,

Ylenia Colella,

Andrea Lombardi,

Paolo GargiuloAuthors Info & Claims

BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology

Article No.: 30, Pages 1 - 3

https://doi.org/10.1145/3502060.3503636

Published: 14 February 2022 Publication History

Abstract

Endarterectomy is a commonly performed surgical procedure for reducing long-term stroke risks. Due to the prolonged Length of Stay (LOS) experienced by patients undergoing endarterectomy, predicting this parameter has become increasingly important for both costs savings and the improvement of the management of beds. This study aims to develop a prediction model of LOS value starting from the clinical data related to patients undergoing endarterectomy, exploiting the potential of several Machine Learning algorithms. Data extracted from the information system of the “San Giovanni di Dio and Ruggi d'Aragona” University Hospital (Salerno, Italy) were considered to perform the analysis. The proposed prediction model shows promising outcomes in estimating the LOS and therefore it can be a significant tool for enhancing the planning of endarterectomy procedures.

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Cited By

D’Onofrio GD’Amore ACaputi EAscione FTriassi MMarino M(2024)Machine Learning as a Tool to Study Endarterectomy Hospitalization: A Bicentric Study6th International Conference on Biomedical Engineering10.1007/978-3-031-80355-0_16(161-168)Online publication date: 30-Dec-2024
https://doi.org/10.1007/978-3-031-80355-0_16
Trunfio TBorrelli AImprota G(2022)Implementation of Predictive Algorithms for the Study of the Endarterectomy LOSBioengineering10.3390/bioengineering91005469:10(546)Online publication date: 12-Oct-2022
https://doi.org/10.3390/bioengineering9100546

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Investigating the impact of age, gender, and comorbid conditions on the prolonged length of stay after endarterectomy

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cover image ACM Other conferences

BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology

August 2021

262 pages

ISBN:9781450384117

DOI:10.1145/3502060

Copyright © 2021 ACM.

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Published: 14 February 2022

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BECB 2021: 2021 International Symposium on Biomedical Engineering and Computational Biology

August 13 - 15, 2021

Nanchang, China

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Cited By

D’Onofrio GD’Amore ACaputi EAscione FTriassi MMarino M(2024)Machine Learning as a Tool to Study Endarterectomy Hospitalization: A Bicentric Study6th International Conference on Biomedical Engineering10.1007/978-3-031-80355-0_16(161-168)Online publication date: 30-Dec-2024
https://doi.org/10.1007/978-3-031-80355-0_16
Trunfio TBorrelli AImprota G(2022)Implementation of Predictive Algorithms for the Study of the Endarterectomy LOSBioengineering10.3390/bioengineering91005469:10(546)Online publication date: 12-Oct-2022
https://doi.org/10.3390/bioengineering9100546

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