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Symulacyjna ocena jakości zagregowanych modeli zbudowanych metodą wektorów nośnych

100%

Trzęsiok M.

Studia Ekonomiczne

2013

vol. 132

115-126

Support Vector Machines (SVM) are a state-of-the-art classification method, but they are also suitable, after a special reformulation, to perform a regression task. Similarly to classification, for a nonlinear regression problem, SVMs use the kernel trick and map the input space into a high-dimensional feature space first, and then perform linear regression in the high-dimensional feature space. One can use the model ensemble approach to try to improve the prediction accuracy. The paper presents the comparison of a single SVM, aggregated SVM and other regression models (linear regression, Projection Pursuit Regression, Neural Networks, Regression Trees, Random Forest, Bagging) by the means of a mean squared test set error.

Using multi-objective affinity model for mining the rules of revisits within 72 hours for emergency department patients

84%

Chao-Wen C., Yuh-Wen C., Moussa L., Tzung-Hung L.

Multiple Criteria Decision Making

2015

vol. 10

5-31

When patients return to the emergency department (ED) within 72 hours after their previous ED discharge, it is generally assumed that their initial evaluation or treatment had been somehow inadequate. Mining data related to unplanned ED revisits is one method to determine whether this problem can be overcome, and to generate useful guidelines in this regard. In this study, we use the receiver operating characteristic (ROC) curve to compare the data mining model by affinity set to other well known approaches. Some scholars have validated the affinity model for its simplicity and power in handling information systems especially when showing binary consequences. In experimental results, SVM showed the best performance, with the affinity model following only slightly behind. This study demonstrated that when patients visit the ED with normotensive status or smooth breath patterns, or when the physician-patient ratio is moderate, the frequency with which patients revisit the ED is significantly higher.

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1 Multiple Criteria Decision Making

1 Studia Ekonomiczne

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1 Chao-Wen C.

1 Moussa L.

1 Trzęsiok M.

1 Tzung-Hung L.

1 Yuh-Wen C.

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Symulacyjna ocena jakości zagregowanych modeli zbudowanych metodą wektorów nośnych

Using multi-objective affinity model for mining the rules of revisits within 72 hours for emergency department patients