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WorldCist'20 - 8th World Conference on Information Systems and Technologies

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Prediction of Length of Stay for Stroke Patients using Artificial Neural Network

Strokes are neurological events that affect a certain area of the brain. Since brain controls fundamental body activities, brain cell deterioration and dead can lead to serious disabilities and poor life quality. This makes strokes the leading cause of disabilities and mortality worldwide. Patients that suffer strokes are hospitalized in order to be submitted to surgery and receive recovery therapies. Thus, it's important to predict the length of stay for these patients, since it can be costly to them and their family, as well as to the medical institutions. The aim of this study is to make a prediction on the number of days of patients’ hospital stays based on information available about the neurological event that happened, the patient's health status and surgery details. A neural network was put to test with three attribute subsets with different sizes. The best result was obtained with the subset with fewer features obtaining a RMSE and a MAE of 5.9451 and 4.6354, respectively.

Cristiana Neto
ALGORITMI Research Center, Department of Informatics, University of Minho, Braga, Portugal
Portugal

Maria Brito
ALGORITMI Research Center, Department of Informatics, University of Minho, Braga, Portugal
Portugal

Hugo Peixoto
ALGORITMI Research Center, Department of Informatics, University of Minho, Braga, Portugal
Portugal

Vítor Lopes
Centro Hospitalar Universitário de São João, Porto, Portugal
Portugal

António Abelha
ALGORITMI Research Center, Department of Informatics, University of Minho, Braga, Portugal
Portugal

José Machado
ALGORITMI Research Center, Department of Informatics, University of Minho, Braga, Portugal
Portugal

 


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