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Improvement of the triage process using process automatization and machine learning

Abstract:

From historical times, classification of patients according their priority level has been considered very important. In this aspect, this paper intends to share some experiences in improving the turn allocation process in the emergency room of a hospital using machine learning algorithms. The present work compares several models such as Naive Bayes, Logistic Regression and Multilayer Perceptron in predicting patient classification. The result indicates that machine learning can be a very important tool for decision support in medical fields.