PREDICTING HOSPITAL LENGTH OF STAY USING REGRESSION MODELS: APPLICATION TO EMERGENCY DEPARTMENTReportar como inadecuado




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1 LHC - Laboratoire Hubert Curien Saint Etienne 2 TEMPO - Laboratoire de Thermique, Ecoulements Mécaniques matériaux mise en forme PrOduction

Abstract : Increasing healthcare costs motivate the search for ways to increase care efficiency. In this paper, we present a novel methodological framework based on predictive data mining approach to estimate the LOS Length Of Stay in an emergency department ED. We use supervised learning that the goal is to build concise models in terms of predictor features. The aim is to identify the factors variables characterizing the LOS in EDs in order to propose models to predict the LOS. We identified two models based on linear regression. These models are validated and were successfully applied to the classification and prediction of the LOS in the pediatric emergency department PED at Lille regional hospital centre, France.

Keywords : Emergency department healthcare modelling regressions LOS forecast





Autor: Catherine Combes - Farid Kadri - Sondès Chaabane -

Fuente: https://hal.archives-ouvertes.fr/



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