Application of Entropy-Based Attribute Reduction and an Artificial Neural Network in Medicine: A Case Study of Estimating Medical Care Costs Associated with Myocardial Infarction

In medicine, artificial neural networks (ANN) have been extensively applied in many fields to model the nonlinear relationship of multivariate data. Due to the difficulty of selecting input variables, attribute reduction techniques were widely used to reduce data to get a smaller set of attributes....

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Bibliographic Details
Main Authors: Qingyun Du, Ke Nie, Zhensheng Wang
Format: Article
Language:English
Published: MDPI AG 2014-08-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/16/9/4788