A Healthcare Decision-Making Model Using a Classifier-Based Disease Reasoning

Abstract

This paper proposes a Healthcare Decision-making Model using a Classifier-based Disease Reasoning. The proposed model consists of a Classifier-based Filtering Module (CFM) and a Disease Reasoning Module (DRM). The CFM extracts only the data necessary for a Decision-making by filtering Disease and Therapy data with a Classifier based Feature Elimination (CFE) algorithm. The DRM generates disease reasoning rules with the data extracted from the CFM by using Markov Process and makes a decision with the generated reasoning rules. The experimental result, the precision of CFE algorithm is improved better than that of the SVM by average 4.7%. In addition, the reasoning result generated by the DRM excels the C 4.5 algorithm by 2% in precision.