Details

Autor(en) / Beteiligte

• Byung Kwan Lee
• Eun Hee Jeong
• Jeong Ah Kim

Titel

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

Ist Teil von

• 2015 International Conference on Computational Science and Computational Intelligence (CSCI), 2015, p.776-780

Ort / Verlag

IEEE

Erscheinungsjahr

2015

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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.