ArticleBioengineering (Basel, Switzerland)2022
Implementation of Predictive Algorithms for the Study of the Endarterectomy LOS.
Article in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring trends and autonomy levels of adaptive business intelligence in healthcare: A systematic review.PloS one · 2024Pooled it
- Machine Learning for Biomedical Applications.Bioengineering (Basel, Switzerland) · 2024Article
- Classification and regression model to manage the hospitalization for laparoscopic cholecystectomy.Scientific reports · 2023Article
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3 authors.
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Abstract
backgroundIn recent years, the length of hospital stay (LOS) following endarterectomy has decreased significantly from 4 days to 1 day. LOS is influenced by several common complications and factors that can adversely affect the patient's health and may vary from one healthcare facility to another. The aim of this work is to develop a forecasting model of the LOS value to investigate the main factors affecting LOS in order to save healthcare cost and improve management.
methodsWe used different regression and machine learning models to predict the LOS value based on the clinical and organizational data of patients undergoing endarterectomy. Data were obtained from the discharge forms of the "San Giovanni di Dio e Ruggi d'Aragona" University Hospital (Salerno, Italy). R
resultsBefore implementing the models, the preliminary correlation study showed that LOS was more dependent on the type of endarterectomy performed. Among the regression algorithms, the best was the multiple linear regression model with an R
conclusionThe resulting forecast model demonstrates its effectiveness in predicting the value of LOS that could be used to improve the endarterectomy surgery planning.
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