In this paper we use a well established method for short-termforecasting to predict the amount of hourly Emergency Department (ED)visits in thirteen different hospitals in the south-east area of Tuscany. Ouralgorithm belongs to the class of similar shape algorithms and performthe forecast in an unsupervised manner. It exploit an historical datasetcontaining the patient arrival data, in which similar pattern, filtered onthe base of a calendar condition, are selected to predict the incomingvisit volume for a tunable number of day ahead.

Calendar based forecast of emergency department visits

Cosimo Lovecchio;Mauro Tucci;Sami Barmada;
2019-01-01

Abstract

In this paper we use a well established method for short-termforecasting to predict the amount of hourly Emergency Department (ED)visits in thirteen different hospitals in the south-east area of Tuscany. Ouralgorithm belongs to the class of similar shape algorithms and performthe forecast in an unsupervised manner. It exploit an historical datasetcontaining the patient arrival data, in which similar pattern, filtered onthe base of a calendar condition, are selected to predict the incomingvisit volume for a tunable number of day ahead.
2019
978-84-17970-78-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1026543
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