A decision support system for cost-effective diagnosis

作者：

Highlights：

•

摘要

ObjectiveSpeed, cost, and accuracy are three important goals in disease diagnosis. This paper proposes a machine learning-based expert system algorithm to optimize these goals and assist diagnostic decisions in a sequential decision-making setting.

论文关键词：Decision support systems,Machine learning,Optimization,Feature selection,Utility-based data mining,Cost-effective diagnosis

论文评审过程：Received 1 March 2009, Revised 23 April 2010, Accepted 16 August 2010, Available online 8 October 2010.

论文官网地址：https://doi.org/10.1016/j.artmed.2010.08.001